Senior / Engineer II, AI Lab Research Engineer
Core
Building agentic AI systems for life, chemistry, and materials science that perform sequential decision-making and multi-step reasoning to solve domain-specific problems.
Role type
Senior IC AI Research Engineer (Agentic AI for Science)
Builds
Agentic AI systems, workflow/code generation pipelines, and evaluation benchmarks for scientific discovery.
Domain
AI for Science (Life Sciences, Chemistry, Materials Science)
Deliverable
production ML models
Required skills
Machine learning, LLMs and agent architectures, PyTorch/TensorFlow/JAX, code generation, scientific domain knowledge (biology or materials science)
Preferred skills
Long-horizon agents, reinforcement learning, digital-twin development, domain-specific benchmark design
Technologies
PyTorch, TensorFlow, JAX
Responsibilities
Design and implement agentic AI systems for scientific workflows, develop evaluation harnesses for scientific tasks, collaborate on interfacing AI with lab simulations and real systems
Seniority
Senior, hands-on IC