As the Engineering Manager for Ads ML Efficiency, you will lead a team focused on optimizing model training and inference to enhance performance and scalability.
You will own the systems that power our cloud infrastructure. This is a hands-on role. You spend the majority of your time in the code, in architecture decisions, and in the hardest technical problems the team faces.
In this hands-on engineering management role, you will lead the Browser Run team, overseeing engineering, roadmap, and operational health while collaborating with cross-functional teams.
As an Engineering Manager on the Core Rider team, you will lead technical initiatives, drive team execution, and enhance the rideshare experience for millions of users.
You will lead a team of engineers across iOS, Android, and Server. You will own the membership and rewards platform end to end and work daily with Product, Design, Data Science, and Partnerships.
