Machine Learning Engineer 5 - Ads Signals & Targeting

Role overview

This is a senior-level machine learning engineering role centered on building models that power advertising targeting and signal development. The work involves designing, training, and evaluating ML systems at scale, with a focus on improving how audiences are reached and how relevant an ad surfaces on a major streaming platform.

Responsibilities

- Develop, train, and refine machine learning models that drive ad targeting and audience signals - Research and prototype new features, signals, and modeling approaches to improve targeting quality - Partner with engineering, analytics, and product stakeholders to translate business goals into modeling decisions - Contribute to experimentation design and measurement of model impact in production - Work with large-scale data pipelines and feature infrastructure to support model training and serving

Requirements

- Senior industry experience as a machine learning engineer - Strong applied ML background, including model development, training, evaluation, and tuning - Proficiency with Python and standard ML and data tooling - Comfort working with large datasets and distributed systems - Solid understanding of experimentation, statistical inference, or causal reasoning

Nice to have

- Background in ads, recommendations, personalization, or related ranking domains - Experience with real-time or low-latency ML systems