Choose a candidate to interview

Strong on model architecture, growing in evaluation rigor and MLOps.

Great at turning research into usable interfaces; needs more data literacy.

Solid statistics and experiment design; building LLM application experience.

End-to-end builder with a focus on retrieval and agentic systems.

Deep theoretical background; translating research into products is the focus.

Expert in scalable training and inference; expanding into agent evaluation.

Exceptional at eliciting model behavior; formalizing evaluation frameworks.

Strong in language understanding tasks; building agentic reasoning skills.

Focused on evaluation, red-teaming, and alignment of deployed systems.

Can ship complete AI features; deepening retrieval and evaluation depth.