18h ago
Post-Training Research Scientist
San Francisco
$210k-$285k / year
full-timesenior Hybridai-ml
💼 About This Role
You'll define and pursue a research agenda spanning pure and applied post-training methodology for frontier AI models. Your work will directly influence production inference systems at companies like Cursor and Notion, with a third of your time dedicated to open problems. This role offers a unique blend of deep research and real-world impact at a company building the platform engineers use to ship AI products.
🎯 What You'll Do
- Define and pursue a research agenda spanning pure and applied work
- Design and execute rigorous experiments at meaningful scale
- Publish at top venues and establish Baseten's research presence
- Collaborate with model performance and training infrastructure teams
- Mentor junior researchers and shape technical direction
📋 Requirements
- PhD or equivalent research depth in machine learning
- First-author publications at top venues like NeurIPS, ICML, ICLR
- Ability to move from theory through implementation to empirical results
- Willingness to operate in a startup environment with product-informed research
✨ Nice to Have
- Experience with production ML systems and deployment constraints
- Background spanning multiple research areas (e.g., interpretability and RL)
- Track record of open-source contributions in ML research
🎁 Benefits & Perks
- 🏖️ Flexible PTO including company-wide Winter Break
- 🩺 100% coverage of medical, dental, and vision insurance
- 👶 Paid parental leave and fertility stipend through Carrot
- 💰 Company-facilitated 401(k)
- 📈 Meaningful equity and competitive compensation
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