ML Engineer, Open Source

Join a small, highly selective team of engineers and researchers working on tabular foundation models, designing APIs and building infrastructure for production deployment. As a ML Engineer, you'll create the ecosystem interfaces and integrations for a groundbreaking new technology.

Requirements

• 3+ years building and maintaining Python packages or ML libraries used by others (open source track record strongly preferred)
• Deep fluency in PyTorch, scikit-learn, pandas, NumPy — their internals, extension points, and failure modes, not just their APIs
• Strong software engineering: testing, CI/CD, packaging (pyproject.toml, uv), semantic versioning, multi-version Python support
• Solid ML fundamentals: enough to write correct preprocessing, catch data leakage, and push back on design choices that break downstream
• Genuine care about developer experience: you write great docs and great error messages because you think they're engineering, not chores

Benefits

• Competitive salary
• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship