# Machine Learning Engineer - Advertising
Join eBay's Advertising team, one of the fastest-growing areas in the company. We're building end-to-end ML and data-driven advertising systems that power ad serving and advertiser-side optimization.
## What You Will Accomplish
- Lead End-to-End ML Systems at Scale: Architect, build, and evolve large-scale machine learning systems powering ad ranking, recommendations, and advertiser optimization, with ownership over system design, reliability, and long-term technical direction.
- Drive Strategic, Data-Informed Decisions: Leverage large-scale production data to identify high-impact opportunities, define ambiguous problem spaces, and influence product and business strategy through data-driven insights.
- Own and Elevate the ML Lifecycle: Set best practices across the full ML lifecycle—feature engineering, model development, evaluation, deployment, and monitoring—while improving robustness, reproducibility, and scalability of production pipelines.
- Collaborate Across Functions to Shape Solutions: Partner closely with product, engineering, and research to translate complex business objectives into scalable ML solutions, influencing roadmap and prioritization through technical expertise.
- Optimize System Performance at Scale: Define, own, and evolve key system metrics (e.g., relevance, revenue, latency, reliability). Lead efforts to improve system efficiency, scalability, and cost-performance tradeoffs across high-throughput environments.
- Advance ML Innovation in Production: Drive adoption of state-of-the-art approaches (e.g., deep learning, GenAI, LLM-based systems) and translate modern technology into practical, high-impact production systems.
- Provide Technical Leadership and Mentorship: Mentor engineers, lead design reviews, and set engineering standards. Act as a technical anchor for the team, setting a higher standard on ML engineering excellence and experimentation rigor.