Staff Machine Learning Engineer, Ads Targeting

Ads Targeting ML engineers are focused on designing and implementing ML systems and solutions for improving targeting products. The team’s projects involve building large-scale offline & online retrieval systems across several dimensions to improve contextual & behavioral targeting for targeting products. As a staff machine learning engineer in the ads targeting quality team, you will own and execute our mission to automate targeting and deliver the most relevant audiences to advertisers under the right context with ML-driven solutions.

Your Responsibilities: Own end-to-end design and execution of ML-based targeting products like auto targeting, user lookalikes etc. Drive research direction and technical roadmap for complex projects, lead day to day project execution, and contribute meaningfully to team vision and strategy. Be a thought leader for the team and collaborate closely with product managers and cross-functional partners to develop and prioritize the roadmap based on data analysis, industry research and product research. Research, implement, test, and launch new model architectures for retrieval using deep learning (GNNs, transformers, two tower models, LLMs) with a focus on improving advertiser outcomes. Provide mentorship to junior MLEs. Own offline & online experimentation of ML models for improving targeting products. Work on large scale data systems, and product integration. Collaborate closely with multiple stakeholders cross product, engineering, research and marketing.