Open-Source Machine Learning Engineer - EMEA Remote
CHECKED 12H AGO
Infrastructureremote
At a glance
Highlights
- Help improve the open-source ML ecosystem for millions of builders worldwide.
- Help foster one of the most active machine learning communities worldwide.
- Brainstorm with team to focus on impactful work that interests you most.
What they offer
- Company equity as part of compensation package
- Health, dental and vision benefits for employees and dependents
- Flexible working hours and flexible paid time off
- Parental leave
- Reimbursement for conferences, training and education
- Workstation setup support and office visit opportunities
Ideal candidate
Open-source enthusiast with a public collaborative track record who loves making complex AI accessible. You thrive contributing in the open and engaging a global community to democratize good AI.
Requirements
- Strong Python skills with clean, well-tested, maintainable library code
- Deep hands-on experience with modern deep-learning framework, especially PyTorch
- Practical experience with Hugging Face open-source stack or comparable ML libraries
- Public track record of open-source contributions reviewable on GitHub
- Solid understanding of modern machine learning including transformer architectures
- Experience collaborating with technical community in the open
- Fluent written English for asynchronous collaboration
- remote policy
- Remote within EMEA
- hiring process
- Apply with cover letter on open-source motivation; start first application answer with GPU-poor and proud f917 to show you read the posting
Lab profile
About Hugging Face
Open platform democratizing AI with shared models, datasets, and apps for builders
What they build
- Model Hub with 4M+ models
- Dataset Hub with 1M+ datasets
- 1.5M Gradio apps
Known for
- Fastest-growing platform for AI builders
- 11M+ user community
- 700k+ GitHub stars
- Open-source mission to democratize good AI
Key facts
- 11M+ platform users
- 4M+ models, 1M+ datasets, 1.5M apps shared