Staff Machine Learning Engineer
Core
Lead ML strategy and execution for the intelligence layer powering advertiser and seller experiences, including Ads Manager and sales productivity tools.
Role type
Staff Machine Learning Engineer (Agentic AI & Recommendations)
Builds
Intelligent recommendation systems, context foundations, and feedback loops for AI agents.
Domain
AdTech / E-commerce / Agentic AI
Deliverable
production ML models
Required skills
Large-scale recommendation systems, Agentic AI, multi-objective optimization, contextual decisioning, retrieval and ranking, embeddings, vector search, reinforcement learning, software engineering (Python/Java), data systems
Preferred skills
AI coding assistants, LLM-powered productivity tools
Technologies
Python, Java, vector search, embeddings
Responsibilities
Lead design and implementation of large-scale recommendation and decisioning systems; Build ML foundations for a unified context layer and context agent; Own recommendation initiatives end-to-end from problem framing to production deployment; Develop evaluation and feedback loops for recommendation quality; Apply modern ML techniques to business-critical workflows; Use AI to accelerate analysis and experimentation; Mentor engineers on ML development and responsible AI usage
Seniority
Staff, hands-on IC with technical leadership
