Applied Research - Scientific AI
Core
Build and post-train autonomous agents for scientific research, creating long-horizon environments where agents search literature, run code, and choose experiments within fixed budgets.
Role type
Senior IC Applied Research Scientist (Scientific AI)
Builds
Autonomous research agents, long-horizon experimental environments, and evaluation systems for scientific tools and datasets
Domain
Frontier AI, Scientific Computing, Autonomous Research
Deliverable
production ML models
Required skills
Reinforcement Learning, Multi-agent systems, Post-training techniques, Python, Experimental design, Reproducible research, RLHF, Domain modeling
Preferred skills
Autonomous research, ML for science, Scientific computing, Reproducible computational research
Technologies
Python, RL, Multi-agent frameworks, Scientific databases, Code execution environments
Responsibilities
Build long-horizon environments for agent-based scientific research; Design verifiers for correctness, novelty, and reproducibility; Develop RL and multi-agent methods for hypothesis testing; Connect programmatic checks and expert feedback to training loops; Maintain reproducible code, data, and experiment configurations; Release reusable environments and research code
