Machine Learning Engineering Manager - Personalization

What You'll Do

Design, build, and improve machine learning systems that power safety across personalization surfaces such as recommendations, search, and emerging AI experiences
Contribute to the platformization of safety systems, enabling scalable and reusable solutions across teams
Develop and operate high-throughput, low-latency backend services powered by ML models
Partner with Product, Trust & Safety, and Content Platform to translate safety needs into practical technical solutions
Work on both traditional ML models and generative AI systems, including integrating third-party and in-house foundational models
Contribute to evaluation frameworks, including labeling strategies, ground truth creation, and model validation approaches
Collaborate with foundational model teams to embed safety into LLM-based and agent-driven experiences
Use metrics and experimentation to continuously improve system performance, safety outcomes, and user experience

Who You Are

You are experienced in building and deploying machine learning systems in production environments
You have hands-on experience with both traditional ML approaches and newer generative AI techniques
You have worked with scalable backend systems that require reliability, low latency, and high availability
You understand how to apply ML solutions to real-world product challenges, ideally in consumer-facing products
You have experience with model evaluation approaches such as labeling workflows, red-teaming, or ground truth data generation
You are comfortable working across disciplines, collaborating with product managers, researchers, and policy partners
You care deeply about building safe, responsible, and inclusive user experiences
You bring a thoughtful, metrics-driven approach to problem solving and decision-making

Where You'll Be

This role is based in New York or Boston
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home