Hugging Face

🌴Remote allowed

Paris Île-de-France France Paris Île-de-France France

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. About the Role Gradio is the most widely used library to build and share machine learning demos, with more than 6m monthly downloads on PYPI. It is maintained by the Gradio team within Hugging Face. We are currently working on a suite of AI tools to help users quickly understand and write Gradio code.The first is the Playground: a code editor on our website which can generate or update complete Gradio demos based on a user’s query. The main objective for a Machine Learning Engineering intern will be to expand this effort. We can leverage ~500k Gradio spaces and thousands of existing prompts from users to build a sophisticated model pipeline with the proper context of how Gradio works. More and more developers are relying on LLMs for assistance in writing code, but these LLMs often do not have proper context on how Gradio works. Gradio has evolved from a library to an ecosystem for machine learning developers, with custom components contributed from our community, Python and JS clients, and Gradio Lite. To advance these efforts and as Gradio's usage and developer community grows, it's important to invest in tools that can help users learn, build and contribute to Gradio. About You You’re passionate about open source and making advanced ML tools accessible. You are someone who stays up to date with the latest machine learning trends and models. You love experimenting and have a high bias for action and results. Some of our requirements for this role : - Experience using modern deep learning libraries and LLM APIs and understanding tradeoffs between different models and APIs. - Knowledge of how to fine-tune LLMs, create retrieval-augmented generation pipelines, and use re-rankers for two-stage retrieval - You’re comfortable exploring and contributing to a codebase consisting of Python and Svelte-flavored JavaScript - You have a “product mindset” -- like experimenting with different user interfaces to build products that are useful to to hundreds of thousands of users If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. Requirements Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

Machine Learning Engineer Internship, Gradio - EMEA Remote Hugging Face Paris Île-de-France France Paris Île-de-France France 🌴Remote allowed At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. About the Role Gradio is the most widely used library to build and share machine learning demos, with more than 6m monthly downloads on PYPI. It is maintained by the Gradio team within Hugging Face. We are currently working on a suite of AI tools to help users quickly understand and write Gradio code.The first is the Playground: a code editor on our website which can generate or update complete Gradio demos based on a user’s query. The main objective for a Machine Learning Engineering intern will be to expand this effort. We can leverage ~500k Gradio spaces and thousands of existing prompts from users to build a sophisticated model pipeline with the proper context of how Gradio works. More and more developers are relying on LLMs for assistance in writing code, but these LLMs often do not have proper context on how Gradio works. Gradio has evolved from a library to an ecosystem for machine learning developers, with custom components contributed from our community, Python and JS clients, and Gradio Lite. To advance these efforts and as Gradio's usage and developer community grows, it's important to invest in tools that can help users learn, build and contribute to Gradio. About You You’re passionate about open source and making advanced ML tools accessible. You are someone who stays up to date with the latest machine learning trends and models. You love experimenting and have a high bias for action and results. Some of our requirements for this role : - Experience using modern deep learning libraries and LLM APIs and understanding tradeoffs between different models and APIs. - Knowledge of how to fine-tune LLMs, create retrieval-augmented generation pipelines, and use re-rankers for two-stage retrieval - You’re comfortable exploring and contributing to a codebase consisting of Python and Svelte-flavored JavaScript - You have a “product mindset” -- like experimenting with different user interfaces to build products that are useful to to hundreds of thousands of users If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. Requirements Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

Hugging Face

🌴Remote allowed

New York New York United States New York New York United States

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. About the Role Gradio is the most widely used library to build and share machine learning demos, with more than 6m monthly downloads on PYPI. It is maintained by the Gradio team within Hugging Face. We are currently working on a suite of AI tools to help users quickly understand and write Gradio code.The first is the Playground: a code editor on our website which can generate or update complete Gradio demos based on a user’s query. The main objective for a Machine Learning Engineering intern will be to expand this effort. We can leverage ~500k Gradio spaces and thousands of existing prompts from users to build a sophisticated model pipeline with the proper context of how Gradio works. More and more developers are relying on LLMs for assistance in writing code, but these LLMs often do not have proper context on how Gradio works. Gradio has evolved from a library to an ecosystem for machine learning developers, with custom components contributed from our community, Python and JS clients, and Gradio Lite. To advance these efforts and as Gradio's usage and developer community grows, it's important to invest in tools that can help users learn, build and contribute to Gradio. About You You’re passionate about open source and making advanced ML tools accessible. You are someone who stays up to date with the latest machine learning trends and models. You love experimenting and have a high bias for action and results. Some of our requirements for this role : - Experience using modern deep learning libraries and LLM APIs and understanding tradeoffs between different models and APIs. - Knowledge of how to fine-tune LLMs, create retrieval-augmented generation pipelines, and use re-rankers for two-stage retrieval - You’re comfortable exploring and contributing to a codebase consisting of Python and Svelte-flavored JavaScript - You have a “product mindset” -- like experimenting with different user interfaces to build products that are useful to to hundreds of thousands of users If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. Requirements Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

Machine Learning Engineer Internship, Gradio - US Remote Hugging Face New York New York United States New York New York United States 🌴Remote allowed At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. About the Role Gradio is the most widely used library to build and share machine learning demos, with more than 6m monthly downloads on PYPI. It is maintained by the Gradio team within Hugging Face. We are currently working on a suite of AI tools to help users quickly understand and write Gradio code.The first is the Playground: a code editor on our website which can generate or update complete Gradio demos based on a user’s query. The main objective for a Machine Learning Engineering intern will be to expand this effort. We can leverage ~500k Gradio spaces and thousands of existing prompts from users to build a sophisticated model pipeline with the proper context of how Gradio works. More and more developers are relying on LLMs for assistance in writing code, but these LLMs often do not have proper context on how Gradio works. Gradio has evolved from a library to an ecosystem for machine learning developers, with custom components contributed from our community, Python and JS clients, and Gradio Lite. To advance these efforts and as Gradio's usage and developer community grows, it's important to invest in tools that can help users learn, build and contribute to Gradio. About You You’re passionate about open source and making advanced ML tools accessible. You are someone who stays up to date with the latest machine learning trends and models. You love experimenting and have a high bias for action and results. Some of our requirements for this role : - Experience using modern deep learning libraries and LLM APIs and understanding tradeoffs between different models and APIs. - Knowledge of how to fine-tune LLMs, create retrieval-augmented generation pipelines, and use re-rankers for two-stage retrieval - You’re comfortable exploring and contributing to a codebase consisting of Python and Svelte-flavored JavaScript - You have a “product mindset” -- like experimenting with different user interfaces to build products that are useful to to hundreds of thousands of users If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. Requirements Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

Hugging Face

🌴Remote allowed

France France

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. About the Role Hugging Face maintains a large collection of open source machine learning libraries, including transformers, diffusers, and datasets, just to name a few. However, these are all implemented in Python, meaning they aren’t as easily accessible to JavaScript/TypeScript developers. So, in order to grow the Hugging Face ecosystem, we decided to build projects like transformers.js and huggingface.js with the primary goal of bridging the gap between web development and machine learning. WebML (Web Machine Learning) unlocks a range of new possibilities for building web applications by enabling models to run locally in the browser. Combining on-device machine learning with the plethora of APIs that browsers provide, empowers developers to create low-latency, interactive, and privacy-focused applications that can scale and reach users without them needing to install anything! This internship operates at the intersection of software engineering, machine learning, and open-source community building. The focus will be to expand the Hugging Face ecosystem to web developers through the creation and maintenance of easy-to-use JS/TS machine learning libraries. By the end of the internship, the candidate will have touched on many aspects of web machine learning, including: converting and optimizing models for in-browser inference (ONNX, quantization), enabling models to run in-browser at near-native speeds (WebGPU, WebNN, WASM), building demo applications to showcase new features, and fostering a collaborative open-source community. About You If you love open-source but also have an eye for art and creativity, are passionate about making complex technology more accessible to engineers and artists, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application! If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Machine Learning Engineer Internship, WebML - EMEA Remote Hugging Face France France 🌴Remote allowed At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. About the Role Hugging Face maintains a large collection of open source machine learning libraries, including transformers, diffusers, and datasets, just to name a few. However, these are all implemented in Python, meaning they aren’t as easily accessible to JavaScript/TypeScript developers. So, in order to grow the Hugging Face ecosystem, we decided to build projects like transformers.js and huggingface.js with the primary goal of bridging the gap between web development and machine learning. WebML (Web Machine Learning) unlocks a range of new possibilities for building web applications by enabling models to run locally in the browser. Combining on-device machine learning with the plethora of APIs that browsers provide, empowers developers to create low-latency, interactive, and privacy-focused applications that can scale and reach users without them needing to install anything! This internship operates at the intersection of software engineering, machine learning, and open-source community building. The focus will be to expand the Hugging Face ecosystem to web developers through the creation and maintenance of easy-to-use JS/TS machine learning libraries. By the end of the internship, the candidate will have touched on many aspects of web machine learning, including: converting and optimizing models for in-browser inference (ONNX, quantization), enabling models to run in-browser at near-native speeds (WebGPU, WebNN, WASM), building demo applications to showcase new features, and fostering a collaborative open-source community. About You If you love open-source but also have an eye for art and creativity, are passionate about making complex technology more accessible to engineers and artists, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application! If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Hugging Face

🌴Remote allowed

United States United States United States

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. About the Role Hugging Face maintains a large collection of open source machine learning libraries, including transformers, diffusers, and datasets, just to name a few. However, these are all implemented in Python, meaning they aren’t as easily accessible to JavaScript/TypeScript developers. So, in order to grow the Hugging Face ecosystem, we decided to build projects like transformers.js and huggingface.js with the primary goal of bridging the gap between web development and machine learning. WebML (Web Machine Learning) unlocks a range of new possibilities for building web applications by enabling models to run locally in the browser. Combining on-device machine learning with the plethora of APIs that browsers provide, empowers developers to create low-latency, interactive, and privacy-focused applications that can scale and reach users without them needing to install anything! This internship operates at the intersection of software engineering, machine learning, and open-source community building. The focus will be to expand the Hugging Face ecosystem to web developers through the creation and maintenance of easy-to-use JS/TS machine learning libraries. By the end of the internship, the candidate will have touched on many aspects of web machine learning, including: converting and optimizing models for in-browser inference (ONNX, quantization), enabling models to run in-browser at near-native speeds (WebGPU, WebNN, WASM), building demo applications to showcase new features, and fostering a collaborative open-source community. About You If you love open-source but also have an eye for art and creativity, are passionate about making complex technology more accessible to engineers and artists, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application! If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Machine Learning Engineer Internship, WebML - US Remote Hugging Face United States United States United States 🌴Remote allowed At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. About the Role Hugging Face maintains a large collection of open source machine learning libraries, including transformers, diffusers, and datasets, just to name a few. However, these are all implemented in Python, meaning they aren’t as easily accessible to JavaScript/TypeScript developers. So, in order to grow the Hugging Face ecosystem, we decided to build projects like transformers.js and huggingface.js with the primary goal of bridging the gap between web development and machine learning. WebML (Web Machine Learning) unlocks a range of new possibilities for building web applications by enabling models to run locally in the browser. Combining on-device machine learning with the plethora of APIs that browsers provide, empowers developers to create low-latency, interactive, and privacy-focused applications that can scale and reach users without them needing to install anything! This internship operates at the intersection of software engineering, machine learning, and open-source community building. The focus will be to expand the Hugging Face ecosystem to web developers through the creation and maintenance of easy-to-use JS/TS machine learning libraries. By the end of the internship, the candidate will have touched on many aspects of web machine learning, including: converting and optimizing models for in-browser inference (ONNX, quantization), enabling models to run in-browser at near-native speeds (WebGPU, WebNN, WASM), building demo applications to showcase new features, and fostering a collaborative open-source community. About You If you love open-source but also have an eye for art and creativity, are passionate about making complex technology more accessible to engineers and artists, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application! If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We support our employees wherever they are. While we have office spaces around the world, especially in the US, Canada, and Europe, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We support the community. We believe significant scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Hugging Face

🌴Remote allowed

France France

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models. About the Role As a Machine Learning Optimization Evangelist, your goal will be to increase the impact of the Hugging Face ML Optimization team by educating the community of ML practitioners on how they can benefit by accelerating their training and inference workloads. The Hugging Face ML Optimization team is working through strategic collaborations with the most used AI Accelerators (incl. NVIDIA, AMD, Intel, Gaudi, Inferentia, TPU), Clouds (AWS, GCP, Azure, Cloudflare) and Systems (Dell, Nutanix), to make it easy for the community to use Hugging Face models and libraries on these compute platforms. These partnerships are core to Hugging Face product strategy as an open platform (no lock-in of customers), and monetization strategy to drive usage and revenue for our partners through commercial collaborations and product extensions. This is not a marketing role, or a business development role. Your impact will be driving visibility and usage of integrations with strategic partners, through activities including: - Publishing technical blog posts - Contributing documentation and code examples - Speaking to business and technical audiences at partner conferences, - Participating in, or producing webinars - Building and evangelizing demos - Leading GTM conversations with strategic partners. You will be at the forefront of Generative AI (and how to build practical stuff with open source). You will work hand in hand with the most important companies in AI. You will enjoy a lot of autonomy and full creative control, with the goal to have 10x more impact than a similar role at a big tech corporation. About You You are passionate about ML Engineering, building practical AI applications, putting them in production, and accelerating them to the best of the hardware ability. You love learning new challenging engineering concepts and technologies, and discussing them with engineers. You appreciate a good Developer Experience, and take pride in your code being easy to understand. You are a great communicator and educator, comfortable (as much as one can be!) with public speaking to technical audiences. You love engaging with the ML community in a positive and helpful way. Existing engagement in social platforms (GitHub, LinkedIn, Twitter, Reddit, etc) or other communication/education channels is expected. Having experience in Open Source development will be helpful.. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Machine Learning Optimization Evangelist - EMEA remote Hugging Face France France 🌴Remote allowed At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models. About the Role As a Machine Learning Optimization Evangelist, your goal will be to increase the impact of the Hugging Face ML Optimization team by educating the community of ML practitioners on how they can benefit by accelerating their training and inference workloads. The Hugging Face ML Optimization team is working through strategic collaborations with the most used AI Accelerators (incl. NVIDIA, AMD, Intel, Gaudi, Inferentia, TPU), Clouds (AWS, GCP, Azure, Cloudflare) and Systems (Dell, Nutanix), to make it easy for the community to use Hugging Face models and libraries on these compute platforms. These partnerships are core to Hugging Face product strategy as an open platform (no lock-in of customers), and monetization strategy to drive usage and revenue for our partners through commercial collaborations and product extensions. This is not a marketing role, or a business development role. Your impact will be driving visibility and usage of integrations with strategic partners, through activities including: - Publishing technical blog posts - Contributing documentation and code examples - Speaking to business and technical audiences at partner conferences, - Participating in, or producing webinars - Building and evangelizing demos - Leading GTM conversations with strategic partners. You will be at the forefront of Generative AI (and how to build practical stuff with open source). You will work hand in hand with the most important companies in AI. You will enjoy a lot of autonomy and full creative control, with the goal to have 10x more impact than a similar role at a big tech corporation. About You You are passionate about ML Engineering, building practical AI applications, putting them in production, and accelerating them to the best of the hardware ability. You love learning new challenging engineering concepts and technologies, and discussing them with engineers. You appreciate a good Developer Experience, and take pride in your code being easy to understand. You are a great communicator and educator, comfortable (as much as one can be!) with public speaking to technical audiences. You love engaging with the ML community in a positive and helpful way. Existing engagement in social platforms (GitHub, LinkedIn, Twitter, Reddit, etc) or other communication/education channels is expected. Having experience in Open Source development will be helpful.. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Hugging Face

🌴Remote allowed

New York New York United States New York New York United States

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models. About the Role As a Machine Learning Optimization Evangelist, your goal will be to increase the impact of the Hugging Face ML Optimization team by educating the community of ML practitioners on how they can benefit by accelerating their training and inference workloads. The Hugging Face ML Optimization team is working through strategic collaborations with the most used AI Accelerators (incl. NVIDIA, AMD, Intel, Gaudi, Inferentia, TPU), Clouds (AWS, GCP, Azure, Cloudflare) and Systems (Dell, Nutanix), to make it easy for the community to use Hugging Face models and libraries on these compute platforms. These partnerships are core to Hugging Face product strategy as an open platform (no lock-in of customers), and monetization strategy to drive usage and revenue for our partners through commercial collaborations and product extensions. This is not a marketing role, or a business development role. Your impact will be driving visibility and usage of integrations with strategic partners, through activities including: - Publishing technical blog posts - Contributing documentation and code examples - Speaking to business and technical audiences at partner conferences, - Participating in, or producing webinars - Building and evangelizing demos - Leading GTM conversations with strategic partners. You will be at the forefront of Generative AI (and how to build practical stuff with open source). You will work hand in hand with the most important companies in AI. You will enjoy a lot of autonomy and full creative control, with the goal to have 10x more impact than a similar role at a big tech corporation. About You You are passionate about ML Engineering, building practical AI applications, putting them in production, and accelerating them to the best of the hardware ability. You love learning new challenging engineering concepts and technologies, and discussing them with engineers. You appreciate a good Developer Experience, and take pride in your code being easy to understand. You are a great communicator and educator, comfortable (as much as one can be!) with public speaking to technical audiences. You love engaging with the ML community in a positive and helpful way. Existing engagement in social platforms (GitHub, LinkedIn, Twitter, Reddit, etc) or other communication/education channels is expected. Having experience in Open Source development will be helpful.. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Machine Learning Optimization Evangelist - US remote Hugging Face New York New York United States New York New York United States 🌴Remote allowed At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models. About the Role As a Machine Learning Optimization Evangelist, your goal will be to increase the impact of the Hugging Face ML Optimization team by educating the community of ML practitioners on how they can benefit by accelerating their training and inference workloads. The Hugging Face ML Optimization team is working through strategic collaborations with the most used AI Accelerators (incl. NVIDIA, AMD, Intel, Gaudi, Inferentia, TPU), Clouds (AWS, GCP, Azure, Cloudflare) and Systems (Dell, Nutanix), to make it easy for the community to use Hugging Face models and libraries on these compute platforms. These partnerships are core to Hugging Face product strategy as an open platform (no lock-in of customers), and monetization strategy to drive usage and revenue for our partners through commercial collaborations and product extensions. This is not a marketing role, or a business development role. Your impact will be driving visibility and usage of integrations with strategic partners, through activities including: - Publishing technical blog posts - Contributing documentation and code examples - Speaking to business and technical audiences at partner conferences, - Participating in, or producing webinars - Building and evangelizing demos - Leading GTM conversations with strategic partners. You will be at the forefront of Generative AI (and how to build practical stuff with open source). You will work hand in hand with the most important companies in AI. You will enjoy a lot of autonomy and full creative control, with the goal to have 10x more impact than a similar role at a big tech corporation. About You You are passionate about ML Engineering, building practical AI applications, putting them in production, and accelerating them to the best of the hardware ability. You love learning new challenging engineering concepts and technologies, and discussing them with engineers. You appreciate a good Developer Experience, and take pride in your code being easy to understand. You are a great communicator and educator, comfortable (as much as one can be!) with public speaking to technical audiences. You love engaging with the ML community in a positive and helpful way. Existing engagement in social platforms (GitHub, LinkedIn, Twitter, Reddit, etc) or other communication/education channels is expected. Having experience in Open Source development will be helpful.. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Hugging Face

🌴Remote allowed

France France

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models. About the Role We are looking for a Cloud Machine Learning engineer responsible to help build machine learning solutions used by millions leveraging cloud technologies. You will work on integrating Hugging Face's open-source libraries like Transformers and Diffusers, with major cloud platforms or managed SaaS solutions. You may want to take a look at these announcements to get a better sense of what this role might mean in practice 🤗: Hugging Face and AWS partner to make AI more accessible Hugging Face and IBM partner on watsonx.ai, the next-generation enterprise studio for AI builders Introducing SafeCoder Hugging Face Collaborates with Microsoft to launch Hugging Face Model Catalog on Azure Responsibilities We are looking for talented people with deep experience and passion for both Machine Learning (at the framework level) and Cloud Services: - Bridging and integrating 🤗 transformers/diffusers models with a different Cloud provider. - Ensuring the above models meet the expected performance - Designing & Developing easy-to-use, secure, and robust Developer Experiences & APIs for our users. - Write technical documentation, examples and notebooks to demonstrate new features - Sharing & Advocating your work and the results with the community. About You You'll enjoy working on this team if you have experience with and interest in deploying machine learning systems to production and build great developer experiences. The ideal candidate will have skills including: - Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets - Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding - Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents. - Experience in building MLOps pipelines for containerizing models and solutions with Docker - Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful - Ability to write clear documentation, examples and definition and work across the full product development lifecycle - Bonus: Experience with Svelte & TailwindCSS More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Cloud Machine Learning Engineer - EMEA remote Hugging Face France France 🌴Remote allowed At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models. About the Role We are looking for a Cloud Machine Learning engineer responsible to help build machine learning solutions used by millions leveraging cloud technologies. You will work on integrating Hugging Face's open-source libraries like Transformers and Diffusers, with major cloud platforms or managed SaaS solutions. You may want to take a look at these announcements to get a better sense of what this role might mean in practice 🤗: Hugging Face and AWS partner to make AI more accessible Hugging Face and IBM partner on watsonx.ai, the next-generation enterprise studio for AI builders Introducing SafeCoder Hugging Face Collaborates with Microsoft to launch Hugging Face Model Catalog on Azure Responsibilities We are looking for talented people with deep experience and passion for both Machine Learning (at the framework level) and Cloud Services: - Bridging and integrating 🤗 transformers/diffusers models with a different Cloud provider. - Ensuring the above models meet the expected performance - Designing & Developing easy-to-use, secure, and robust Developer Experiences & APIs for our users. - Write technical documentation, examples and notebooks to demonstrate new features - Sharing & Advocating your work and the results with the community. About You You'll enjoy working on this team if you have experience with and interest in deploying machine learning systems to production and build great developer experiences. The ideal candidate will have skills including: - Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets - Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding - Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents. - Experience in building MLOps pipelines for containerizing models and solutions with Docker - Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful - Ability to write clear documentation, examples and definition and work across the full product development lifecycle - Bonus: Experience with Svelte & TailwindCSS More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Hugging Face

🌴Remote allowed

United States United States United States

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models. About the Role We are looking for a Cloud Machine Learning engineer responsible to help build machine learning solutions used by millions leveraging cloud technologies. You will work on integrating Hugging Face's open-source libraries like Transformers and Diffusers, with major cloud platforms or managed SaaS solutions. You may want to take a look at these announcements to get a better sense of what this role might mean in practice 🤗: Hugging Face and AWS partner to make AI more accessible Hugging Face and IBM partner on watsonx.ai, the next-generation enterprise studio for AI builders Introducing SafeCoder Hugging Face Collaborates with Microsoft to launch Hugging Face Model Catalog on Azure Responsibilities We are looking for talented people with deep experience and passion for both Machine Learning (at the framework level) and Cloud Services: - Bridging and integrating 🤗 transformers/diffusers models with a different Cloud provider. - Ensuring the above models meet the expected performance - Designing & Developing easy-to-use, secure, and robust Developer Experiences & APIs for our users. - Write technical documentation, examples and notebooks to demonstrate new features - Sharing & Advocating your work and the results with the community. About You You'll enjoy working on this team if you have experience with and interest in deploying machine learning systems to production and build great developer experiences. The ideal candidate will have skills including: - Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets - Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding - Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents. - Experience in building MLOps pipelines for containerizing models and solutions with Docker - Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful - Ability to write clear documentation, examples and definition and work across the full product development lifecycle - Bonus: Experience with Svelte & TailwindCSS More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Cloud Machine Learning Engineer - US remote Hugging Face United States United States United States 🌴Remote allowed At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models. About the Role We are looking for a Cloud Machine Learning engineer responsible to help build machine learning solutions used by millions leveraging cloud technologies. You will work on integrating Hugging Face's open-source libraries like Transformers and Diffusers, with major cloud platforms or managed SaaS solutions. You may want to take a look at these announcements to get a better sense of what this role might mean in practice 🤗: Hugging Face and AWS partner to make AI more accessible Hugging Face and IBM partner on watsonx.ai, the next-generation enterprise studio for AI builders Introducing SafeCoder Hugging Face Collaborates with Microsoft to launch Hugging Face Model Catalog on Azure Responsibilities We are looking for talented people with deep experience and passion for both Machine Learning (at the framework level) and Cloud Services: - Bridging and integrating 🤗 transformers/diffusers models with a different Cloud provider. - Ensuring the above models meet the expected performance - Designing & Developing easy-to-use, secure, and robust Developer Experiences & APIs for our users. - Write technical documentation, examples and notebooks to demonstrate new features - Sharing & Advocating your work and the results with the community. About You You'll enjoy working on this team if you have experience with and interest in deploying machine learning systems to production and build great developer experiences. The ideal candidate will have skills including: - Deep experience building with Hugging Face Technologies, including Transformers, Diffusers, Accelerate, PEFT, Datasets - Expertise in Deep Learning Framework, preferably PyTorch, optionally XLA understanding - Strong knowledge of cloud platforms like AWS and services like Amazon SageMaker, EC2, S3, CloudWatch and/or Azure and GCP equivalents. - Experience in building MLOps pipelines for containerizing models and solutions with Docker - Familiarity with Typescript, Rust, and MongoDB, Kubernetes are helpful - Ability to write clear documentation, examples and definition and work across the full product development lifecycle - Bonus: Experience with Svelte & TailwindCSS More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Hugging Face

🌴Remote allowed

France France

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. Transformers in NLP pushed forward the computational requirements and the trend started to expand to other modalities such as Computer Vision and Speech which are actively adopting Transformer architectures to build the latest state-of-the-art models. About the Role Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models. If you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations: we should talk! We are looking for talented people to join the Hugging Face Special Ops team, focusing on: - Bridging 🤗 transformers models with state-of-the-art AI hardware - Ensuring the above models meet the expected performance - Designing easy to use and proficient Developer Experience for our users - Deploying these models in the most efficient and scalable way. This is an exciting opportunity to work at the edge of AI on both model architectures and hardware technologies! As additional material, you may want to take a look at the recent announcement about the collaboration with GraphCore on IPUs to get a better sense of what it means in practice 🤗. About You You’ll enjoy working in this team if you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations. At the intersection of software engineering and machine learning, you would be in charge of integrating the latest features from our hardware partners in Python/C++, designing rich and easy Python APIs in the continuity of what Hugging Face did with transformers, tokenizers, and the datasets library with a strong focus on performances. Linux or embedded devices experience would be a great plus for the job. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Machine Learning Engineer in the Optimization team - EMEA remote Hugging Face France France 🌴Remote allowed At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. Transformers in NLP pushed forward the computational requirements and the trend started to expand to other modalities such as Computer Vision and Speech which are actively adopting Transformer architectures to build the latest state-of-the-art models. About the Role Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models. If you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations: we should talk! We are looking for talented people to join the Hugging Face Special Ops team, focusing on: - Bridging 🤗 transformers models with state-of-the-art AI hardware - Ensuring the above models meet the expected performance - Designing easy to use and proficient Developer Experience for our users - Deploying these models in the most efficient and scalable way. This is an exciting opportunity to work at the edge of AI on both model architectures and hardware technologies! As additional material, you may want to take a look at the recent announcement about the collaboration with GraphCore on IPUs to get a better sense of what it means in practice 🤗. About You You’ll enjoy working in this team if you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations. At the intersection of software engineering and machine learning, you would be in charge of integrating the latest features from our hardware partners in Python/C++, designing rich and easy Python APIs in the continuity of what Hugging Face did with transformers, tokenizers, and the datasets library with a strong focus on performances. Linux or embedded devices experience would be a great plus for the job. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Hugging Face

🌴Remote allowed

United States United States United States

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. Transformers in NLP pushed forward the computational requirements and the trend started to expand to other modalities such as Computer Vision and Speech which are actively adopting Transformer architectures to build the latest state-of-the-art models. About the Role Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models. If you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations: we should talk! We are looking for talented people to join the Hugging Face Special Ops team, focusing on: - Bridging 🤗 transformers models with state-of-the-art AI hardware - Ensuring the above models meet the expected performance - Designing easy to use and proficient Developer Experience for our users - Deploying these models in the most efficient and scalable way. This is an exciting opportunity to work at the edge of AI on both model architectures and hardware technologies! As additional material, you may want to take a look at the recent announcement about the collaboration with GraphCore on IPUs to get a better sense of what it means in practice 🤗. About You You’ll enjoy working in this team if you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations. At the intersection of software engineering and machine learning, you would be in charge of integrating the latest features from our hardware partners in Python/C++, designing rich and easy Python APIs in the continuity of what Hugging Face did with transformers, tokenizers, and the datasets library with a strong focus on performances. Linux or embedded devices experience would be a great plus for the job. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Machine Learning Engineer in the Optimization team - US Remote Hugging Face United States United States United States 🌴Remote allowed At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. Transformers in NLP pushed forward the computational requirements and the trend started to expand to other modalities such as Computer Vision and Speech which are actively adopting Transformer architectures to build the latest state-of-the-art models. About the Role Hugging Face has become the most popular, community-driven project for training, sharing, and deploying the most advanced machine learning models. Workload efficiency is key to our mission of democratizing state of the art and we are always looking to push the boundaries for faster, and more efficient ways to train and deploy models. If you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations: we should talk! We are looking for talented people to join the Hugging Face Special Ops team, focusing on: - Bridging 🤗 transformers models with state-of-the-art AI hardware - Ensuring the above models meet the expected performance - Designing easy to use and proficient Developer Experience for our users - Deploying these models in the most efficient and scalable way. This is an exciting opportunity to work at the edge of AI on both model architectures and hardware technologies! As additional material, you may want to take a look at the recent announcement about the collaboration with GraphCore on IPUs to get a better sense of what it means in practice 🤗. About You You’ll enjoy working in this team if you like digging into the dark side of low-level system integrations, compiler support, and framework optimizations. At the intersection of software engineering and machine learning, you would be in charge of integrating the latest features from our hardware partners in Python/C++, designing rich and easy Python APIs in the continuity of what Hugging Face did with transformers, tokenizers, and the datasets library with a strong focus on performances. Linux or embedded devices experience would be a great plus for the job. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity.We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development.You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we’re very distributed and all remote employees have the opportunity to visit our offices. If needed, we’ll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Hugging Face

🌴Remote allowed

France France

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. About the role: As a Machine learning Engineer, you work mainly on creating great libraries highly focused on real world ML use cases. We're building on top of our open-source to create more specialized code with a focus on industrial level of usage. We are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a progressive, nimble and decentralized approach to develop real-world solutions and positive user experiences at every interaction. Objectives of this role: - Develop specialized software for specific machine learning (ML) use cases that have broad applications, similar to [text-generation-inference](https://github.com/huggingface/text-generation-inference). - Utilize existing library frameworks to create scalable software solutions for industrial purposes. - Enhance the reliability, quality, and time-to-market of our software suite. Measure and optimize system performance to stay ahead of customer needs and drive innovation. - Manage the production environment by monitoring availability and ensuring overall system health. We run our own tools About you: If you are a passionate Machine Learning Engineer with a keen interest in AI and proficient with Python, Rust and specialized Cuda kernels Frameworks (transformers of course + Keras or PyTorch), we would love to hear from you. Join our team and contribute to the advancement of AI technologies while working alongside talented professionals in a collaborative and stimulating environment. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity . We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being . We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer flexible parental leave and paid time off. We support our employees wherever they are . While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders . All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community . We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Machine Learning Engineer, Fast Optimized Inference - EMEA Remote Hugging Face France France 🌴Remote allowed At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. About the role: As a Machine learning Engineer, you work mainly on creating great libraries highly focused on real world ML use cases. We're building on top of our open-source to create more specialized code with a focus on industrial level of usage. We are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a progressive, nimble and decentralized approach to develop real-world solutions and positive user experiences at every interaction. Objectives of this role: - Develop specialized software for specific machine learning (ML) use cases that have broad applications, similar to [text-generation-inference](https://github.com/huggingface/text-generation-inference). - Utilize existing library frameworks to create scalable software solutions for industrial purposes. - Enhance the reliability, quality, and time-to-market of our software suite. Measure and optimize system performance to stay ahead of customer needs and drive innovation. - Manage the production environment by monitoring availability and ensuring overall system health. We run our own tools About you: If you are a passionate Machine Learning Engineer with a keen interest in AI and proficient with Python, Rust and specialized Cuda kernels Frameworks (transformers of course + Keras or PyTorch), we would love to hear from you. Join our team and contribute to the advancement of AI technologies while working alongside talented professionals in a collaborative and stimulating environment. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity . We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being . We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer flexible parental leave and paid time off. We support our employees wherever they are . While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders . All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community . We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Hugging Face

🌴Remote allowed

United States United States United States

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. About the role: As a Machine learning Engineer, you work mainly on creating great libraries highly focused on real world ML use cases. We're building on top of our open-source to create more specialized code with a focus on industrial level of usage. We are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a progressive, nimble and decentralized approach to develop real-world solutions and positive user experiences at every interaction. Objectives of this role: - Develop specialized software for specific machine learning (ML) use cases that have broad applications, similar to [text-generation-inference](https://github.com/huggingface/text-generation-inference). - Utilize existing library frameworks to create scalable software solutions for industrial purposes. - Enhance the reliability, quality, and time-to-market of our software suite. Measure and optimize system performance to stay ahead of customer needs and drive innovation. - Manage the production environment by monitoring availability and ensuring overall system health. We run our own tools About you: If you are a passionate Machine Learning Engineer with a keen interest in AI and proficient with Python, Rust and specialized Cuda kernels Frameworks (transformers of course + Keras or PyTorch), we would love to hear from you. Join our team and contribute to the advancement of AI technologies while working alongside talented professionals in a collaborative and stimulating environment. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity . We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being . We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also flexible parental leave and paid time off. We support our employees wherever they are . While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders . All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community . We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Machine Learning Engineer, Fast Optimized Inference - US Remote Hugging Face United States United States United States 🌴Remote allowed At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. About the role: As a Machine learning Engineer, you work mainly on creating great libraries highly focused on real world ML use cases. We're building on top of our open-source to create more specialized code with a focus on industrial level of usage. We are searching for someone who brings fresh ideas, demonstrates a unique and informed viewpoint, and enjoys collaborating with a progressive, nimble and decentralized approach to develop real-world solutions and positive user experiences at every interaction. Objectives of this role: - Develop specialized software for specific machine learning (ML) use cases that have broad applications, similar to [text-generation-inference](https://github.com/huggingface/text-generation-inference). - Utilize existing library frameworks to create scalable software solutions for industrial purposes. - Enhance the reliability, quality, and time-to-market of our software suite. Measure and optimize system performance to stay ahead of customer needs and drive innovation. - Manage the production environment by monitoring availability and ensuring overall system health. We run our own tools About you: If you are a passionate Machine Learning Engineer with a keen interest in AI and proficient with Python, Rust and specialized Cuda kernels Frameworks (transformers of course + Keras or PyTorch), we would love to hear from you. Join our team and contribute to the advancement of AI technologies while working alongside talented professionals in a collaborative and stimulating environment. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity . We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being . We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also flexible parental leave and paid time off. We support our employees wherever they are . While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders . All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community . We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Hugging Face

🌴Remote allowed

New York New York United States New York New York United States

At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. About the Role As an open-source Machine Learning Engineer, you will work to improve the open-source machine learning ecosystem. You will mainly work with existing open-source libraries, such as Transformers, Datasets, or Accelerate, and you will interact with users and contributors of the broad open-source machine learning ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful. You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners and data scientists on a daily basis through GitHub, our forums, or slack. About you If you love open-source, are passionate about making complex technology more accessible, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application! If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. Requirements Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

Open-Source Machine Learning Engineer - International Remote Hugging Face New York New York United States New York New York United States 🌴Remote allowed At Hugging Face, we’re on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 5 million users & 100k organizations who collectively shared over 1M models, 300k datasets & 300k apps. Our open-source libraries have more than 400k+ stars on Github. About the Role As an open-source Machine Learning Engineer, you will work to improve the open-source machine learning ecosystem. You will mainly work with existing open-source libraries, such as Transformers, Datasets, or Accelerate, and you will interact with users and contributors of the broad open-source machine learning ecosystem. We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful. You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners and data scientists on a daily basis through GitHub, our forums, or slack. About you If you love open-source, are passionate about making complex technology more accessible, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application! If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another. We're happy to consider where you might be able to make the biggest impact. More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community. Requirements Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

Hugging Face

🌴Remote allowed

United States United States United States

If you don't see the perfect job position, just apply to this one - we'll brainstorm with you to put you in position to do the best work of your life at Hugging Face! More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity . We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being . We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are . While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders . All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community . We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.

Wild Card Hugging Face United States United States United States 🌴Remote allowed If you don't see the perfect job position, just apply to this one - we'll brainstorm with you to put you in position to do the best work of your life at Hugging Face! More about Hugging Face We are actively working to build a culture that values diversity, equity, and inclusivity . We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education. We care about your well-being . We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer parental leave and flexible paid time off. We support our employees wherever they are . While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed. We want our teammates to be shareholders . All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside. We support the community . We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.