About the role#
The NeoSigma Research Fellowship is a 10 to 14 week, in-person, paid program for researchers and builders to work on open, real-world AI challenges. Fellows collaborate with the research team on problems at the frontier of self-improving AI systems. Projects are open-ended, and fellows define a research direction that aligns with their strengths, interests, and long-term goals. The program encourages contributing to the broader research community through publications, technical blogs, and open research artifacts.
What you'll do#
- Work on open-ended problems in self-improving AI, including agentic systems, auto-evals, verifier research, and benchmarks.
- Define your own research direction based on your strengths and interests.
- Run experiments, iterate, and push ideas from hypothesis to working system.
- Publish findings through papers, technical blogs, and open research artifacts.
- Collaborate daily with the research team through mentorship and brainstorming sessions.
What you'll need#
- Currently pursuing or holding a Master's or PhD degree in Computer Science, Machine Learning, or a related field.
- Hands-on experience building LLM-powered or agentic systems in production.
- Strong research taste in evals, post-training, or agent architecture.
- Ability to own problems end-to-end, from the first idea to a shipped artifact.
- Comfort working directly with a small, fast-moving team.
- High attention to detail regarding research rigor, code quality, and writing.
Location & details#
- Location: San Francisco, CA.
- Term: Summer 2026.
- Modality: On-site.
- Employment: Full-time.
- Compensation: Paid position with visa sponsorship available.
- Academic focus: Computer Science, Data Science, Mathematics, Physics, or Electrical Engineering.
How to get in at NeoSigma
Intern Insider's per-company playbook.
Applying to NeoSigma early provides a distinct advantage because recruiters review applications as they arrive. Intern Insider sends an instant alert the moment a role matching your target is published, which helps you apply among the first before the pile grows. You avoid the disadvantage of being buried in a large queue of candidates. Reaching out to the right person often beats waiting for a system to process your application. Intern Insider surfaces the recruiters behind the company roles so you can contact them directly to ask about the position or a referral. This direct approach materially improves response rates compared to standard submissions.
