Base Labs Fellowship
Remote • San Francisco • Temporary
Posted 2mo ago
About the job
Base Labs, a research initiative by Baseten, is seeking researchers for its Fellowship program. This program offers full-time, 3-month research opportunities in San Francisco, providing funding, mentorship, and support to produce rigorous, published research. The goal is to expose researchers to frontier AI research within an industry setting, contributing to both the open-source ecosystem and Baseten's technical roadmap. Fellows will work closely with senior researchers, with the potential for a full-time offer for exceptional performers.
Responsibilities
- Conduct 3 months of full-time research.
- Produce rigorous, published research.
- Collaborate with senior researchers and contribute to Baseten's technical roadmap.
- Present research at top venues.
Requirements
- Currently enrolled in or recently completed a PhD in ML, AI, statistics, or a related field.
- Demonstrate original, rigorous thinking through a publication record or research portfolio.
- Care about the impact and 'why' of your work.
- Thrive with autonomy and without a defined roadmap.
- Be available to be fully embedded in the San Francisco team for the program duration.
- Be excited to contribute to building a research culture.
Benefits
- $15,000 stipend per 3-month period.
- Funding for compute and research expenses.
- Dedicated 1:1 mentorship from a senior researcher.
- Opportunities to publish and present at top venues.
- Potential for a full-time offer.
- Housing, meals, and travel covered.
- Competitive compensation (for full-time hires).
- Meaningful equity (for full-time hires).
- 100% coverage of medical, dental, and vision insurance for employee and dependents (for full-time hires).
- Flexible PTO policy including company-wide Winter Break (for full-time hires).
- Paid parental leave (for full-time hires).
- Fertility and family-building stipend through Carrot (for full-time hires).
- Company-facilitated 401(k) (for full-time hires).
- Exposure to a variety of ML startups for learning and networking (for full-time hires).