Senior / Engineer II, AI Lab Research Engineer

Highlights

• Build agentic AI systems that reason across multi-step scientific problems.
• Turn natural language intent into executable steps for lab instruments.
• Build benchmarks and telemetry to measure progress toward science goals.

What they offer

• Competitive base compensation with bonus potential
• Generous early-stage equity
• Medical, dental and vision coverage
• Flexible time off with generous company-wide holidays
• Paid parental leave and educational assistance program
• Commuter benefits and company-subsidized lunch program

Ideal candidate

Quantitatively trained scientist-engineer energized by cross-functional collaboration and turning AI advances into real lab discovery for health, climate, and sustainability.

Requirements

• PhD or Masters in a quantitative discipline with strong background in machine learning and one domain of science
• Strong grasp of LLMs and agent architectures and how to adapt them to domains
• Proficiency in modern ML frameworks and experience implementing scalable solutions for complex tasks
• Comfort collaborating across disciplines and interfacing with simulations and real lab systems