Member of Technical Staff (Applied AI)

Highlights

• Build RL environments that train AI agents for finance, healthcare, legal.
• Create ground-truth tasks and rubrics frontier labs measure models against.
• Prototype new evaluation, verification, and synthetic data approaches.

Ideal candidate

High-agency builder who ships end-to-end and thrives in ambiguity across engineering and expert collaboration. You care about making AI reliable where mistakes are expensive and want ownership at a lean startup.

Requirements

• Practical experience building with LLMs including prompting, evaluation, and agentic harnesses
• High agency and technically sharp, able to act without detailed specs or roadmap
• Comfortable working across engineering, evaluation design, and domain-expert collaboration
• Bias to ship, iterate, and own problems end-to-end from scoping to working environment
• Already using LLMs as part of how you build