About this role
About the Role The Ads Data Management Platform team is seeking Applied Scientists to elevate the quality of the User Identity graph as it scales across MAI surfaces, including Copilot, driving measurable impact in ads personalization, audience targeting, and measurement, and unlocking richer user insights. What You'll Do
- Build and apply machine learning models to improve the User Identity graph across MAI surfaces and Copilot.
- Analyze large-scale data, run experiments, and iterate on model quality and impact.
- Collaborate with data platform, product, and ads teams to deploy models into production.
- Develop evaluation metrics, dashboards, and monitoring to ensure robust performance.
- Communicate results and recommendations to stakeholders. What We're Looking For
- Strong background in machine learning, data science, or a related field; experience with graph data and large-scale ML pipelines.
- Advanced coding skills (Python, with exposure to Spark/Scala/Java).
- Experience deploying ML models to production and working with large datasets.
- Ability to work cross-functionally with product, engineering, and research teams. Nice to Have
- Experience with digital advertising, personalization, or identity graphs.
- Familiarity with distributed data processing systems (Spark, Hadoop) and cloud platforms (Azure).
- PhD or equivalent research experience is a plus.