Senior Machine Learning Engineer - Applied Scientist
Core
Lead applied science strategy for AI-powered product areas, defining success metrics and operationalizing LLM evaluation frameworks across the product lifecycle.
Role type
Senior IC applied scientist (LLM evaluation & strategy)
Builds
AI systems with strong attention to reliability, scalability, latency, observability, and MLOps best practices
Domain
Artificial Intelligence / Large Language Models / Product Strategy
Deliverable
production ML models
Required skills
LLM evaluation, prompt engineering, RAG, agentic systems, multimodal AI, offline experimentation, MLOps, hypothesis testing, metric definition, technical leadership
Preferred skills
None stated
Technologies
LLMs, RAG, agents, multimodal systems
Responsibilities
Lead applied science strategy for AI-powered product areas; Design and operationalize LLM evaluation frameworks; Partner with engineering and PM leadership to align science priorities; Mentor scientists and engineers; Drive fast iteration cycles by forming hypotheses and interpreting results
Seniority
Senior, hands-on IC
