Senior Machine Learning Engineer - Ads

Senior Machine Learning Engineer - Ads Department: Engineering Team: Machine Learning Location: New York, United States Type: Full-Time **About the Role** The Ads Machine Learning (Ads ML) team at Uber is responsible for providing relevant ad recommendations to the users across the different applications within the Uber ecosystem. We focus on building a deep understanding of both user and merchant behavior to generate accurate ML signals that enhance the Ads auction system providing accurate pricing for our advertisers. Our goal is to maximize the benefits for both users and merchants within Uber's Ads distribution system. You will directly impact Uber's Ads systems by defining and executing the Ads ML roadmap, with a focus on enabling and accelerating large-scale improvements to our recommendation and auction systems. Developing relevant, robust, and observable ad recommendations is crucial to Uber’s fast growing Ads Business strategy, making this a highly impactful role. **\-\-\-\- What the Candidate Will Do ----** 1. Design and implement machine learning models and algorithms to optimize ad recommendations and auction mechanisms. 2. Develop and maintain scalable ML pipelines and data infrastructure to support real-time and batch processing of large-scale datasets. 3. Apply advanced statistical and machine learning techniques to generate insights and improve the effectiveness of ad targeting and delivery. 4. Collaborate with data scientists and engineers to build and refine predictive models that enhance user engagement and merchant benefits. 5. Conduct rigorous experimentation and A/B testing to validate model performance and iterate on improvements. 6. Define success metrics and develop dashboards to monitor and visualize the performance of ML models in production. 7. Work closely with cross-functional teams, including Product, Engineering, and Data Science, to translate business requirements into ML solutions. 8. Mentor and provide technical guidance to junior ML engineers and data scientists. 9. Stay up-to-date with the latest research and advancements in machine learning, recommendation s