Senior Research Scientist
Core
Developing next-generation foundation models with persistent state, long-context reasoning, and agentic workflows to address limitations in current LLMs.
Role type
Senior Research Scientist (LLM Post-Training & Reasoning)
Builds
Foundation models (20B to 300B+ parameters) capable of planning, reasoning, and maintaining coherence across long-horizon interactions.
Domain
Artificial Intelligence / Large Language Models / Reinforcement Learning
Deliverable
production ML models
Required skills
Reinforcement Learning for language models, LLM post-training, large-scale experimentation design, model evaluation frameworks, long-context reasoning optimization
Preferred skills
Experience pushing models beyond benchmark performance, real-world model behavior analysis
Technologies
Foundation models (20B–300B+ parameters), RL algorithms, evaluation frameworks
Responsibilities
Research RL techniques for LLM post-training and reasoning, Design large-scale experiments and evaluation frameworks, Improve model behavior across long-context and agent-style tasks, Train and evaluate foundation models ranging from 20B to 300B+ parameters
Seniority
Senior, hands-on IC
