Research Scientist - (Senior & Staff levels)
Core
Advancing reinforcement learning methods for large-scale AI systems to enhance reasoning, planning, and decision-making in models applied to biology, climate, and materials science.
Role type
Senior/Staff Research Scientist (Reinforcement Learning)
Builds
Frontier AI models and a superintelligence platform for scientific discovery
Domain
Artificial Intelligence / Reinforcement Learning / Scientific Computing
Deliverable
production ML models
Required skills
Reinforcement learning (policy/value/model-based), RLHF/PPO/DPO, large-scale model training and fine-tuning, distributed computing (cloud/HPC), rigorous experimental design
Preferred skills
Multi-agent RL, hierarchical/offline RL, domain-specific work with scientific datasets
Technologies
Large Language Models, PPO, DPO, RLHF, Cloud/HPC clusters
Responsibilities
Design evaluation frameworks, fine-tune models at scale, collaborate with domain experts to translate research into real-world progress
Seniority
Senior/Staff, hands-on IC