Staff Machine Learning Engineer

What you'll do

• Lead design and implementation of large-scale recommendation systems for advertiser guidance.
• Build ML foundations for a unified context layer to support agentic experiences.
• Own end-to-end recommendation initiatives from problem framing through production deployment.
• Develop evaluation loops to measure recommendation quality and continuously improve models.
• Apply modern ML techniques such as retrieval, ranking, embeddings, and multi-objective optimization.

What we're looking for

• 7+ years experience building and deploying large-scale ML systems in production.
• Strong background in recommendation system architectures including retrieval, ranking, embeddings, and multi-task learning.
• Proven ability to own end-to-end ML projects from problem scoping through deployment and monitoring.
• Hands-on technical leadership setting direction for multi-quarter ML roadmaps.
• Deep expertise in modern ML techniques such as contextual decisioning and response modeling.
• Excellent cross-functional communication skills with experience collaborating across product, data science, and infrastructure teams.