Leading the technical strategy for Shopping Ads delivery, the remote Staff Machine Learning Engineer will manage end-to-end model development, focusing on targeting, retrieval, ranking, and conversion prediction to enhance advertiser outcomes.
Key responsibilities
- Lead the ML strategy and architecture for Shopping Ads delivery across various components
- Own the complete model development process, including data design, feature engineering, and deployment
- Drive complex initiatives requiring coordination across multiple teams and systems
Required qualifications
- 7+ years of professional experience in software or machine learning engineering with a focus on applied ML systems
- Demonstrated experience in building end-to-end models that improve advertising or marketplace performance
- Strong hands‑on experience with model development, feature engineering, and online inference
- Proven technical leadership experience, including mentoring and influencing cross-functional teams
- Deep understanding of large-scale ML systems and the trade‑offs between model quality and operational efficiency