Member of Technical Staff (Machine Learning Engineer, Search & Agents)

Highlights

• Advance how AI systems search, reason, and solve complex problems.
• Own experiments end to end from hypothesis to production impact.
• Build agent harnesses, tools, and execution environments.

Ideal candidate

Experienced ML builder with depth in one relevant area who loves open-ended problems. Curious, ownership-driven, and motivated to carry ideas from experiment to production system.

Requirements

• Strong track record building and shipping ML systems with deep experience in LLM post-training, RL, search and retrieval, or agent systems
• Strong software engineering skills across model training, experimentation infrastructure, and production systems
• Experience designing rigorous evaluations, diagnosing failures, and translating results into improvements
• Comfort with open-ended problems requiring research judgment and hands-on engineering
• Strong ownership, curiosity, and drive to carry ideas through to working systems