Senior Member of Technical Staff

Job Description

Has owned the full frontier post- training loop end to end:

At least 3+ published research at top ML conferences - must be top few/lead authors, not just a contributor

Deep expertise in LLM evaluation, benchmark design, and data quality as inputs to model training – not evaluation as a standalone function

Research domain must be in LLM training or post- training, not speech, audio, vision, or robotics

6 - 10 years of experience in AI/ML research post- undergrad across academics and industry

Experience designing benchmarks, evals, or datasets for LLM improvement

Industry research experience at an AI lab or AI infrastructure company

Engineering fluency (Python/PyTorch) to collaborate on eval infrastructure

Can design experiments, inspect data, and ship quantitative analysis end- to- end

Education

PhD in ML, CS, computer vision, statistics, or quantitative science from a top- tier program