Member of Technical Staff, Research (LLM Agents Lab)

A research lab dedicated to making language-model agents dependable and useful for individuals, developers and enterprises is expanding its core research team. Researchers here carry projects from first idea through experiments to working prototypes, alongside engineers and designers.

Scope

Lead research on how LLMs reason, on post-training, and on agentic system design

Invent methods that make autonomous agents more capable, reliable and safe in real settings

Partner with platform and application engineers to turn research results into compelling products

Plan and run experiments, benchmark models and study behavior to find failure modes and openings

Follow progress in reasoning, multi-agent setups, RLHF, tool use and fine-tuning, and contribute papers or open-source code where suitable

Help define the lab’s research culture and roadmap as an early member

About you

Two or more years of LLM research on agents, post-training or evaluation, with publications

A PhD or Master’s in computer science, machine learning, NLP or AI

Original research you led, rather than applying existing methods to internal data

Solid ML fundamentals in architectures, training recipes and experiment design, plus Python and PyTorch

Papers at leading venues, where quality and citations matter more than the degree

On-site in the South Bay of Silicon Valley. Visa transfers considered, with sponsorship possible for strong candidates.