Most Loved Workplace® Certified JobOpen-Source Machine Learning Engineer - US Remote
Most Loved Workplace® Certified JobAbout the Role
At Hugging Face, a Most Loved Workplace® certified employer in the Technology space, Democratizing AI through open-source tools and collaborative innovation.
At Hugging Face, we're on a journey to democratize good AI. We are building the fastest growing platform for AI builders with over 11 million users who collectively shared over 4 million models, 1 million datasets & 1.5 million Gradio apps. Our open-source libraries have more than 700,000 stars on Github. As an Open-Source Machine Learning Engineer, you'll work to improve the open-source machine learning ecosystem. You'll mainly work on existing open-source libraries such as Transformers, Datasets, Pytorch and vLLM, and you'll interact with users and contributors across the broad open-source ML 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 help foster one of the most active machine learning communities, helping users contribute to and use the tools you build. You'll work with researchers, ML practitioners, and data scientists every day through GitHub, our forums, and Slack. You have a public track record of open-source work, and you enjoy collaborating with a community out in the open on GitHub. You love open source, you're passionate about making complex technology more accessible, and you want to contribute to one of the fastest-growing ML ecosystems. If that's you, 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 backgrounds complement one another, and we're happy to consider where you might make the biggest impact. At Hugging Face we believe great AI shouldn't require a massive cluster, we build for everyone, especially the GPU-poor. And because we read every application, here's a small sign that you read this one too: start your answer to the first application question with the words “GPU-poor and proud 🤗”. No trick, no catch, it just tells us a real person is on the other side.
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Requirements
- Public track record of open-source work
- Enjoy collaborating with a community out in the open on GitHub
- Passionate about making complex technology more accessible
- Desire to contribute to one of the fastest-growing ML ecosystems
Benefits
- Reimbursement for relevant conferences, training, and education
- Flexible working hours and remote options
- Health, dental, and vision benefits for employees and their dependents
- Parental leave and flexible paid time off
- Company equity as part of compensation package
- Opportunity to visit office spaces in NYC and Paris
- Support for outfitting your workstation
- Participation in a community supporting the ML/AI community
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