Tech Lead, Applied AI - Search

Highlights

• Build evaluation systems that turn human expertise into signal labs train on.
• Lead pipelines converting interviews and demos into rubrics and training data.
• Push verifiable rewards into subjective, agentic and multimodal evaluation work.

What they offer

• Equity

Ideal candidate

An engineering leader who thrives in ambiguity, takes high ownership, and coaches high-potential teams to execute. You stay hands-on while setting direction and care deeply about improving frontier model quality.

Requirements

• 6-10 years in engineering with 2-3+ years leading teams
• Strong background in building scalable systems
• Comfort with core ML/LLM concepts including post-training, evaluation metrics, and reward modeling
• Ability to lead in ambiguous, fast-moving environments with sound technical judgment
• Proven ability to coach engineers and drive execution
• Strong ownership mindset with pragmatic decision-making