AI platform building company with over 5 million users and 100k organizations, focused on democratizing good AI through open-source machine learning libraries.

Hugging Face, a leading AI platform with over 5 million users and 100k organizations, is seeking a Machine Learning Engineer Intern for their WebML team. This exciting role sits at the intersection of software engineering, machine learning, and open-source community building. The internship focuses on expanding Hugging Face's ecosystem to web developers through JavaScript/TypeScript machine learning libraries like transformers.js and huggingface.js.

The role involves working on cutting-edge web machine learning technologies, enabling models to run locally in browsers for creating low-latency, interactive, and privacy-focused applications. You'll be converting and optimizing models for in-browser inference, working with technologies like ONNX, WebGPU, WebNN, and WASM, and building demo applications to showcase new features.

Hugging Face maintains numerous open-source machine learning libraries with over 400k+ stars on Github, including transformers, diffusers, and datasets. This internship offers a unique opportunity to bridge the gap between web development and machine learning, making complex technology more accessible to engineers and artists.

The company offers a supportive, diverse, and inclusive work environment with flexible working hours, remote options, and comprehensive development support. They provide reimbursement for relevant conferences, training, and education. Hugging Face values collaboration and community building in the ML/AI field, making it an ideal place for those passionate about open-source development and technological innovation.

This internship is perfect for candidates who combine a love for open-source with creativity and have a passion for making complex technology more accessible. Even if you don't meet all requirements, Hugging Face encourages applications from diverse backgrounds and experiences.

Machine Learning Engineer Internship at Hugging Face focusing on WebML development, bridging web development and machine learning through JavaScript/TypeScript libraries.

Machine Learning Engineer Internship, WebML - US Remote

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

Hugging Face, a leading AI platform with over 5 million users, is seeking a Machine Learning Engineer Intern for their WebML team. This exciting role sits at the intersection of software engineering, machine learning, and open-source community building. The internship focuses on expanding Hugging Face's ecosystem to web developers through JavaScript/TypeScript machine learning libraries like transformers.js and huggingface.js.

The role involves working on cutting-edge web machine learning technologies, enabling models to run locally in browsers for low-latency, interactive, and privacy-focused applications. You'll be converting and optimizing models for in-browser inference, working with technologies like ONNX, WebGPU, WebNN, and WASM, and building demo applications to showcase new features.

Hugging Face maintains numerous open-source ML libraries with 400k+ GitHub stars and is committed to democratizing good AI. The company values diversity, equity, and inclusivity, offering a supportive environment where you'll work with industry-leading experts. Benefits include flexible remote work, educational support, and the opportunity to contribute to one of the fastest-growing ML ecosystems.

This internship is perfect for someone who loves open-source, has an eye for creativity, and is passionate about making complex technology accessible to engineers and artists. You'll gain hands-on experience with web machine learning while contributing to meaningful projects that bridge the gap between web development and machine learning.

Join a company that supports the ML/AI community, values scientific advancement through collaboration, and offers comprehensive professional development opportunities. Even if you don't meet all requirements, Hugging Face encourages diverse candidates to apply, focusing on where you can make the biggest impact.

Machine Learning Engineer Internship, WebML - EMEA Remote

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

Hugging Face, a leading AI platform company, is seeking a Machine Learning Engineer Intern for their WebML team. This exciting role sits at the intersection of software engineering, machine learning, and open-source community building. The internship focuses on making machine learning accessible to web developers by creating and maintaining JavaScript/TypeScript ML libraries like transformers.js and huggingface.js.

The company maintains numerous open-source ML libraries with 400k+ GitHub stars and serves over 5 million users and 100k organizations. This role specifically aims to bridge the gap between web development and machine learning, enabling developers to create low-latency, interactive, and privacy-focused applications that run locally in browsers.

As an intern, you'll work on converting and optimizing models for browser-based inference, implementing high-performance solutions using WebGPU and WebNN, building demonstration applications, and fostering open-source community engagement. The position offers hands-on experience with cutting-edge web machine learning technologies and the opportunity to contribute to democratizing AI.

The ideal candidate should have a passion for open-source development, creativity, and making complex technology accessible. Hugging Face offers a diverse, inclusive work environment with flexible remote options, professional development support, and the chance to work with industry-leading experts. They actively support the ML/AI community and believe in collaborative scientific advancement.

This internship provides an exceptional opportunity to gain practical experience in both web development and machine learning while contributing to one of the fastest-growing ML ecosystems. The role offers comprehensive benefits including flexible working hours, workstation support, and educational development opportunities.

Machine Learning Engineer Internship position at Hugging Face focusing on WebML development, bridging web development and machine learning through JavaScript/TypeScript libraries.

Building the fastest growing platform for AI builders 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 focused on Fast Optimized Inference. This role is perfect for passionate engineers interested in creating specialized ML libraries for real-world applications. You'll work on developing software similar to text-generation-inference, focusing on industrial-level usage and scalability. The position involves creating specialized code building upon their open-source foundation, with 400k+ Github stars across their libraries.

The role combines hands-on development with performance optimization and production management. You'll be responsible for developing ML-specific software, ensuring system reliability, and monitoring production environments. The ideal candidate should be proficient in Python, Rust, and specialized Cuda kernels Frameworks, including transformers, Keras, or PyTorch.

Hugging Face offers an inclusive, development-focused environment where you'll work with industry-leading professionals. They provide comprehensive benefits including flexible remote work, health/dental/vision coverage, parental leave, and equity participation. The company strongly values diversity and community contribution, supporting the broader ML/AI ecosystem through collaborative scientific advancement.

This position offers a unique opportunity to impact AI democratization while working with cutting-edge technologies. You'll be part of a progressive, decentralized team developing solutions that enhance user experiences and push the boundaries of AI applications. The role combines technical expertise with real-world impact, making it ideal for engineers passionate about advancing AI technology while maintaining practical applications.

Join Hugging Face as a Machine Learning Engineer focusing on Fast Optimized Inference, developing specialized ML libraries and scalable solutions for industrial applications.

Machine Learning Engineer, Fast Optimized Inference - US Remote

AI company known for their transformers library and machine learning tools

Hugging Face, a leading AI company known for democratizing machine learning, is offering a Machine Learning Engineer Internship position focused on their Gradio project. This internship provides a unique opportunity to work with cutting-edge AI technology and contribute to one of the most popular ML tools in the industry. The position is remote-based, with a focus on the EMEA region, and the main office is located in Paris, France.

As an intern, you'll be working with the Gradio team, which is responsible for developing and maintaining an important tool in the machine learning ecosystem that helps developers create customizable UI components for ML models. This role offers hands-on experience with machine learning infrastructure and development, providing invaluable exposure to both technical and practical aspects of AI development.

The position requires candidates to be eligible to work in their applying country and must be part of a master's program with a mandatory internship requirement. The role emphasizes both technical capabilities and community involvement, as evidenced by the application's focus on personal projects and contributions.

This internship represents an excellent opportunity for aspiring machine learning engineers to gain practical experience at one of the most innovative AI companies, working alongside experts in the field while contributing to tools used by the global ML community. The remote nature of the position offers flexibility while maintaining connection to a vibrant, international team of AI researchers and engineers.

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

Machine Learning Engineer Internship, Gradio - EMEA Remote

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

Hugging Face, a leading AI platform company, is seeking an Open-Source Machine Learning Engineer to join their mission of democratizing good AI. With a thriving community of over 5 million users and 100k organizations, Hugging Face has become a cornerstone of the ML/AI ecosystem, hosting 1M+ models, 300k datasets, and 300k apps.

As an Open-Source Machine Learning Engineer, you'll be at the forefront of improving the open-source machine learning ecosystem. Your work will primarily focus on enhancing essential libraries like Transformers, Datasets, and Accelerate. This role offers a unique opportunity to directly impact the ML community while collaborating with researchers, ML practitioners, and data scientists through various channels including GitHub, forums, and Slack.

The position is fully remote, offering flexibility and work-life balance, with offices in NYC and Paris available for visits. Hugging Face provides comprehensive benefits including health, dental, and vision insurance, parental leave, flexible PTO, and company equity. They strongly emphasize professional development, offering reimbursement for conferences, training, and education.

The company culture is built on diversity, equity, and inclusivity, ensuring all employees feel respected and supported regardless of their background. They maintain a bias for impact and continuous growth, working alongside some of the industry's brightest minds. If you're passionate about open-source technology and want to contribute to one of the fastest-growing ML ecosystems, this role offers an exceptional opportunity to make a significant impact in the field of artificial intelligence.

What makes this role particularly exciting is the chance to work with a community that believes in collaborative scientific advancement, while helping to shape the future of machine learning technology. The position offers both technical challenges and the satisfaction of making complex technology more accessible to a broader audience.

Open-Source Machine Learning Engineer position at Hugging Face, working remotely to improve ML ecosystem through open-source development and community engagement.

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

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.

Hugging Face Engineering Jobs

AI platform building company with over 5 million users and 100k organizations, focused on democratizing good AI through open-source machine learning libraries.