Student Researcher - Fall 2026

📋 Description

• LLM post-training, evaluation, and data-efficiency research.
• Contribute to production stack and publishable research.
• Role can be full-time in SF or part-time remote (Sept–Dec 2026).
• Mentored by a senior scientist on a scoped project.
• Aim for an archive-ready manuscript or top-tier conference.
• Projects: LLM Post-Training; LLM Evaluation; Data Efficiency.

🎯 Requirements

• Current PhD student in CS, ML, NLP, or related field.
• Publication record at top venues (NeurIPS, ICML, ACL, EMNLP, ICLR).
• Hands-on experience training and evaluating LLMs (PyTorch, JAX, DeepSpeed).
• Strong empirical rigor and a passion for open-ended AI questions.

🎁 Benefits

• Mentorship by senior scientist.
• Opportunity to publish in top venues.
• Potential to ship research into production.
• Hybrid work with in-person SF option or remote schedule.