Senior Staff Machine Learning Engineer, Data & Eval

The role involves setting technical direction and leading execution for ML evaluation, building and scaling evaluation frameworks, designing the data flywheel, and driving cross-functional quality initiatives. It requires a PhD in Computer Science or related field with extensive experience in ML/AI systems end-to-end, including GenAI/LLM systems.

Candidates will join an innovative team pushing engineering boundaries. Depending on the domains associated with this job, you will be expected to design clean APIs, write automated test cases, and participate in peer code reviews. We value developers who focus on performance optimization, fast load times, and simple, maintainable architectures.