AI platform builder with over 5 million users & 100k organizations, sharing 1M+ models, 300k datasets & apps, with 400k+ Github stars.

Hugging Face, a leading AI platform with over 5 million users and 100k organizations, is seeking a Machine Learning Engineer focused on Fast Optimized Inference. This role is perfect for engineers passionate about AI and proficient in Python, Rust, and specialized CUDA kernels Frameworks.

As a Machine Learning Engineer, you'll be at the forefront of creating specialized libraries for real-world ML use cases, building on top of our open-source foundation to develop industrial-grade solutions. You'll work on projects similar to text-generation-inference, focusing on scalability, reliability, and performance optimization.

The role offers an opportunity to work with some of the smartest people in the industry, in a culture that values diversity, equity, and inclusivity. We're a distributed team with offices in NYC and Paris, offering flexible remote work options and comprehensive benefits including health coverage, equity, and professional development support.

Join a company that's actively democratizing good AI, with a proven track record of open-source success (400k+ Github stars) and a commitment to supporting the ML/AI community. You'll be part of a progressive, nimble team developing real-world solutions while enjoying the benefits of a supportive, growth-oriented environment.

Machine Learning Engineer position at Hugging Face focusing on developing specialized ML libraries and optimizing inference performance for industrial applications.

Machine Learning Engineer, Fast Optimized Inference

Building the fastest growing platform for AI builders with over 5 million users & 100k organizations sharing 1M+ models, 300k datasets & apps.

Hugging Face, a leading platform in AI development, is seeking an Open-Source Machine Learning Engineer to join their mission of democratizing good AI. With over 5 million users and 100k organizations sharing more than 1M models, the company stands at the forefront of AI innovation.

As an Open-Source Machine Learning Engineer, you'll play a crucial role in enhancing the open-source machine learning ecosystem. Your work will focus on improving essential libraries like Transformers, Datasets, and Accelerate. You'll have the unique opportunity to interact directly with users, contributors, researchers, and ML practitioners through various platforms including GitHub, forums, and Slack.

The ideal candidate is passionate about open-source development and making complex technology more accessible. You'll be joining a diverse team that values complementary skills and experiences. The company actively promotes a culture of diversity, equity, and inclusivity, ensuring all employees feel respected and supported regardless of their background.

Hugging Face offers comprehensive benefits including health, dental, and vision insurance, parental leave, flexible PTO, and equity compensation. With office spaces in NYC and Paris, the company supports both remote and office-based work arrangements. They provide resources for professional development through conference and education reimbursement, and the opportunity to work with some of the industry's brightest minds.

Join Hugging Face to be part of a community that's shaping the future of machine learning and artificial intelligence, while contributing to major scientific advancements through collaboration across the field.

Join Hugging Face as an Open-Source Machine Learning Engineer to improve ML ecosystem and work with leading open-source libraries while fostering a global ML community.

Open-Source Machine Learning Engineer - International Remote

Hugging Face, the fastest-growing AI platform with 5M+ users and 100k+ organizations, is seeking a Machine Learning Engineer Intern for their Gradio team. Gradio, their widely-used library for building ML demos (6M+ monthly downloads), needs help expanding their AI tools suite. The role focuses on developing sophisticated model pipelines using ~500k Gradio spaces and user prompts to improve code generation and understanding.

The ideal candidate will work on the Playground code editor and help create AI tools that assist users in writing Gradio code. This position offers a unique opportunity to impact hundreds of thousands of users while working with cutting-edge ML technologies. The role requires experience with deep learning libraries, LLM APIs, and full-stack development (Python/JavaScript).

Working at Hugging Face means joining a diverse, inclusive community that values development and well-being. The company offers flexible remote work, educational support, and the chance to collaborate with industry leaders. This internship is perfect for someone passionate about open source, machine learning, and making advanced ML tools accessible to developers worldwide.

Machine Learning Engineer Internship at Hugging Face working on Gradio's AI tools suite to improve code generation and understanding for ML demos.

Machine Learning Engineer Internship, Gradio

Building the Github of Machine Learning with over 5 million users & 100k organizations, sharing 1M+ models, 300k datasets & apps.

Hugging Face, the rapidly growing platform for AI builders, is seeking a Technical Solution Engineer to join their mission of democratizing good AI. With over 5 million users and 100k organizations sharing more than 1M models, 300k datasets, and 300k apps, they're building the Github of Machine Learning. This role is perfect for a technical professional with 2+ years of full-stack development experience who enjoys solving complex problems and supporting customers.

The position requires expertise in Javascript/Typescript/Node.js and MongoDB, along with the ability to work autonomously and communicate effectively with both technical and non-technical audiences. You'll be supporting customers through various channels, maintaining documentation, and helping internal teams utilize the Hugging Face Hub effectively.

Hugging Face offers an inclusive work environment with excellent benefits, including flexible remote work, comprehensive health coverage, parental leave, equity compensation, and professional development opportunities. They maintain offices in NYC and Paris while supporting a distributed team worldwide.

The ideal candidate should be passionate about continuous learning, customer support, and problem-solving. You'll work with industry-leading professionals in AI/ML while contributing to a company that values diversity, equity, and inclusivity. Even if you don't meet all requirements, they encourage applications from candidates who can make a significant impact.

Join a company that's not just building technology but fostering a community supporting ML/AI advancement through collaboration. With their commitment to employee development, well-being, and shared success through equity, Hugging Face offers an exciting opportunity to be part of the future of AI development.

Technical Solution Engineer position at Hugging Face, supporting customers with Hub integration and maintaining documentation while working remotely.

Technical Solution Engineer, Web Platform - US Remote

AI platform builder with over 5 million users & 100k organizations, focusing on developing open-source tools and models

Hugging Face, a leading AI platform with over 5 million users and 100k organizations, is seeking a Community Machine Learning Research Engineer focused on non-AI scientific fields. This role combines cutting-edge ML research with community collaboration, particularly in domains like biology, physics, chemistry, quantum, and fluid dynamics. The position offers a unique opportunity to bridge the gap between ML and traditional sciences through research partnerships, tool development, and educational initiatives.

The ideal candidate will work at the intersection of machine learning and various scientific disciplines, developing innovative solutions and fostering relationships with academic and research institutions. They will be responsible for building research collaborations, co-developing ML tools and models, and engaging with the scientific community through various educational initiatives.

Working at Hugging Face means joining a diverse, equity-focused organization that values continuous growth and development. The company offers comprehensive benefits, including flexible working arrangements, health coverage, equity compensation, and strong support for professional development. While remote work is supported, this position is ideally based in Paris, with relocation assistance available.

The role suits someone who thrives in a fast-paced, decentralized environment, possesses deep technical expertise, and can effectively communicate across teams. Join a company that's democratizing good AI while contributing to groundbreaking scientific applications of machine learning.

Community ML Research Engineer position at Hugging Face, focusing on applying machine learning to non-AI scientific fields and fostering research collaborations.

Community ML Research Engineer, non-AI scientific fields - EMEA Remote

AI platform building company with over 5 million users & 100k organizations, sharing 1M+ models, 300k datasets & apps

Hugging Face, the fastest growing AI platform with over 5 million users and 100k organizations, is seeking a Machine Learning Engineer Intern for their Gradio team. Gradio, their widely-used library for building and sharing ML demos, boasts 6m monthly downloads on PYPI. The role focuses on expanding their AI tools suite, particularly the Playground code editor that generates Gradio demos based on user queries.

The ideal candidate will work on leveraging ~500k Gradio spaces and thousands of user prompts to build sophisticated model pipelines. This position offers a unique opportunity to work with cutting-edge LLM technology while making it accessible to developers worldwide. The role requires experience with deep learning libraries, LLM APIs, and comfort with both Python and JavaScript.

Hugging Face offers a diverse, inclusive workplace with a strong emphasis on professional development. They provide flexible working arrangements, including remote options, and support for conferences and education. The company values open-source contribution and community collaboration, making it an ideal environment for those passionate about democratizing good AI.

As part of the Gradio team, you'll help shape the future of machine learning development tools, working with some of the industry's brightest minds. The company's commitment to open source (400k+ Github stars) and their mission to democratize good AI makes this an exceptional opportunity for growth and impact in the AI field.

Machine Learning Engineer Internship at Hugging Face, focusing on expanding Gradio's AI tools suite and improving developer experience through LLM-powered solutions.

Machine Learning Engineer Internship, Gradio - EMEA Remote

Hugging Face, the leading platform for AI builders with over 5 million users and 100k organizations, is seeking a Machine Learning Engineer Intern for their Gradio team. Gradio, their most widely used library for building and sharing ML demos, boasts 6m+ monthly downloads on PYPI.

The role focuses on expanding AI tools that help users understand and write Gradio code, particularly the Playground code editor. You'll work with a vast dataset of ~500k Gradio spaces and thousands of user prompts to develop sophisticated model pipelines. This position is crucial as Gradio evolves from a library to an ecosystem for ML developers, incorporating community-contributed components, Python and JS clients, and Gradio Lite.

The ideal candidate combines technical expertise in modern deep learning, LLMs, and programming with a product-focused mindset. You'll need experience with fine-tuning LLMs, creating retrieval-augmented generation pipelines, and working with Python and Svelte-JavaScript. Your work will directly impact hundreds of thousands of users while contributing to the democratization of good AI.

Hugging Face offers a supportive, diverse environment with opportunities for professional growth. Benefits include flexible remote work, educational reimbursement, and access to some of the industry's brightest minds. You'll join a community-focused organization that values scientific advancement through collaboration, making this an excellent opportunity for those passionate about open-source and accessible ML tools.

Join Hugging Face as a Machine Learning Engineer Intern to help develop AI tools for Gradio, working on code generation and understanding while contributing to open-source ML development.

Hugging Face is a leading AI company known for their open-source machine learning platform and transformers library.

Hugging Face is offering an exciting Machine Learning Engineer Internship opportunity focused on Gradio development for the EMEA region. This remote position is perfect for master's students looking to gain hands-on experience in one of the world's leading AI companies. As an intern, you'll be working with cutting-edge machine learning technologies and contributing to Gradio, an important tool in the machine learning ecosystem. You'll be part of a dynamic team that's pushing the boundaries of AI technology and making it more accessible to developers worldwide. The role requires a strong foundation in machine learning concepts and programming skills, particularly in Python. You'll have the opportunity to work on real-world projects that impact the global AI community while learning from industry experts. This internship is specifically designed for students who need to complete a mandatory internship as part of their master's program, offering a structured learning environment with practical experience in AI development. The position offers valuable exposure to both technical and collaborative aspects of machine learning engineering, making it an ideal stepping stone for a career in AI and machine learning.

Machine Learning Engineer Internship position at Hugging Face focusing on Gradio development for EMEA region.

Hugging Face is a leading AI company known for their open-source machine learning tools and models.

Hugging Face, a prominent leader in the AI industry, is offering an exciting Machine Learning Engineer Internship opportunity focused on Gradio development. This remote position, based in the United States, presents a unique chance to work with one of the most innovative companies in the artificial intelligence space.

As an intern, you'll be working specifically with Gradio, which is Hugging Face's open-source Python library for creating customizable UI components for machine learning models. This role offers a perfect blend of machine learning engineering and practical application development, providing invaluable experience in both areas.

The position requires a strong foundation in machine learning concepts and the ability to contribute to meaningful projects. You'll need to demonstrate your passion for AI through previous projects or contributions, and clearly articulate how you can make an impact at Hugging Face. The company values self-authored contributions and original thinking, as emphasized in their application requirements.

This internship is particularly well-suited for students who are passionate about AI and open-source development. The remote work setting offers flexibility while allowing you to collaborate with some of the brightest minds in the AI industry. You'll be part of a company that's at the forefront of democratizing artificial intelligence and making it accessible to developers worldwide.

Working at Hugging Face means being part of a community that values innovation, collaboration, and open-source contributions. The company's commitment to advancing AI technology while maintaining a strong focus on ethical considerations and community engagement makes it an ideal place for learning and professional growth.

The role offers hands-on experience with cutting-edge AI technologies and the opportunity to contribute to tools used by developers and researchers worldwide. You'll gain practical experience in machine learning engineering while working on real-world applications that have immediate impact in the AI community.

Machine Learning Engineer Internship position at Hugging Face, focusing on Gradio development with remote work opportunity in the US.

Machine Learning Engineer Internship, Gradio - US Remote

Building the fastest growing platform for AI builders with over 5 million users & 100k organizations sharing 1M+ models, 300k datasets & 300k apps.

Hugging Face, the leading platform in AI development with over 5 million users, is launching an exciting moonshot initiative in AI Agents. The role focuses on developing and improving agent systems, particularly GUI agents that interact with screen recordings through mouse/keyboard setups. As an ML Research Engineer, you'll be at the forefront of agent development, working on the entire stack from maintaining smolagents to building new libraries and frameworks. The position offers a unique opportunity to make a significant impact in the AI community through open-source contributions and research papers.

The role combines cutting-edge machine learning research with practical engineering, requiring expertise in post-training, inference, orchestration, and UX design. You'll work with state-of-the-art infrastructure, including a large H100 cluster, and have the freedom to make important decisions that affect the global AI community. The position is remote-friendly but preferably based near the Paris office.

Hugging Face offers an inclusive, development-focused environment where you'll work alongside industry leaders. The company provides comprehensive benefits, including equity, flexible working arrangements, and strong support for professional growth. This is an exceptional opportunity for someone passionate about AI agents who wants to contribute to democratizing good AI while working in a fast-paced, innovative environment.

Senior ML Research Engineer position at Hugging Face focusing on AI Agents development, combining research and engineering to build next-generation GUI agents and frameworks.

ML Research Engineer, AI Agents - EMEA Remote

Leading AI platform building tools and libraries for machine learning, with over 5 million users and 100k organizations sharing 1M+ models.

At Hugging Face, we're pioneering the democratization of good AI through our platform that serves over 5 million users and 100k organizations. Our open-source libraries have garnered more than 400k+ stars on Github, demonstrating our significant impact in the AI community.

The ML Optimization team collaborates with leading hardware innovators like AWS, AMD, Nvidia, Google, Intel, and Habana to optimize model performance across diverse hardware platforms. At the core of these partnerships is Optimum, our open-source library that connects the Hugging Face ecosystem with specific hardware implementations.

As an ML Optimization intern, you'll be instrumental in shaping AI's future by developing cutting-edge solutions for various hardware platforms. You'll work on creating user-friendly tools for model conversion, authoring comprehensive deployment guides, and designing seamless integration flows. Your role involves conducting hardware performance analysis and sharing insights with the community through various channels.

We foster an inclusive culture that values diversity and equity, ensuring all employees feel respected and supported regardless of their background. The position offers significant growth opportunities, working alongside industry experts and contributing to meaningful scientific advancements. You'll benefit from flexible working arrangements, comprehensive support for remote work, and opportunities for professional development through conference attendance and training.

Join us in our mission to democratize machine learning while working with state-of-the-art models, curated datasets, and innovative hardware solutions. Your contributions will directly impact developers and researchers worldwide, making AI more accessible and efficient across different hardware platforms.

This internship offers a unique opportunity to work at the intersection of machine learning and hardware optimization, while being part of a community-driven organization that's leading the AI revolution.

Machine Learning Engineer Internship focusing on hardware optimization and model deployment across various platforms at Hugging Face.

Machine Learning Engineer Internship, Hardware Optimization

Hugging Face, a pioneering force in AI democratization, is seeking a Machine Learning Engineer Intern for their Hardware Optimization team. With over 5 million users and 100k+ organizations sharing more than 1M models, Hugging Face stands at the forefront of open-source AI development.

The role focuses on optimizing machine learning models across various hardware platforms through partnerships with industry leaders like AWS, AMD, Nvidia, Google, Intel, and Habana. You'll work with Optimum, their open-source library that connects the Hugging Face ecosystem with specific hardware implementations.

As an intern, you'll contribute to developing cutting-edge solutions for both established and emerging hardware platforms. Key projects include creating an online model export tool, writing comprehensive deployment guides, and designing seamless user workflows. You'll conduct performance analysis across different hardware backends and share insights with the broader AI community.

The position offers a unique opportunity to work with world-class experts while making a tangible impact on the AI landscape. Hugging Face emphasizes diversity, equity, and inclusivity, fostering a supportive environment where all employees can thrive. They provide flexible working arrangements, professional development support, and the chance to contribute to significant scientific advancements through collaboration.

The ideal candidate should be passionate about open-source development and AI, with a strong interest in hardware optimization. You'll be joining a company that values community contribution, continuous learning, and the democratization of good AI. This internship provides an exceptional opportunity to shape the future of AI while working with cutting-edge technologies and industry-leading partners.

Machine Learning Engineer Internship focusing on hardware optimization and AI model deployment across various platforms at Hugging Face.

Hugging Face is offering an exciting ML Research Engineer Internship position focused on OS Agents, providing an opportunity to work with one of the leading companies in the AI space. This remote position in the United States is perfect for students who need to complete a mandatory internship as part of their master's program. As an intern, you'll be working on cutting-edge machine learning projects, specifically focusing on OS Agents development and research.

The role offers a unique opportunity to work with a company that's at the forefront of AI development and democratizing machine learning. You'll be part of a team that's known for their contributions to the open-source community and transformers library, which has become a cornerstone of modern NLP applications.

The ideal candidate should have a strong foundation in machine learning, programming skills (particularly in Python), and a genuine interest in AI research. You'll have the chance to work on meaningful projects that have real-world impact while learning from some of the best minds in the field.

This internship is particularly suited for master's students who need to complete a mandatory internship as part of their academic program. You'll need to be eligible to work in the United States and be able to work remotely effectively.

At Hugging Face, you'll be part of a collaborative, innovative environment where you can contribute to projects that are shaping the future of AI. The company values open-source contributions and encourages sharing knowledge with the broader AI community. This internship offers an excellent opportunity to gain practical experience in ML research while working with state-of-the-art AI technologies.

ML Research Engineer Internship position focused on OS Agents at Hugging Face, working remotely in the United States.

Hugging Face Engineering Jobs

AI platform builder with over 5 million users & 100k organizations, sharing 1M+ models, 300k datasets & apps, with 400k+ Github stars.