Job Description
Senior Engineering Manager - (Machine Learning) Uber Eats
Department: Engineering
Team: Manager
Location: New York, United States
Type: Full-Time
**About the Role**
As Sr Engineering Manager for the Shopping ML team, you will join a team dedicated to using cutting-edge machine learning and AI to create an Uber Eats shopping experience that feels intuitive and personalized for millions of consumers around the world. Your mission will be to ensure that consumers always feel understood, with the app effortlessly anticipating their needs—whether they’re looking for a quick lunch, planning a group dinner, or discovering new cuisines they didn’t even know they’d love.
In this role, you will collaborate closely with product managers, data scientists, and cross-functional teams to design scalable systems that enable a seamless, intelligent experience. You'll focus on helping users discover the right food and grocery options tailored to their context, unlocking new possibilities and ensuring Uber Eats is there for them at every step of their journey. This will be powered by building ML models and infrastructure staying at the cutting edge of ML/AI research in the industry.
This is an exciting opportunity to be part of a broader Uber Eats ML team with a far-reaching mission to personalize many aspects of the app and make Uber Eats feel like a personal food concierge that’s always one step ahead.
**What the Candidate Will Do:**
- Define and execute the Shopping ML product and engineering roadmap and strategy, focusing on personalization and discovery experiences that enhance multiple surfaces on the Uber Eats app including the store, checkout, and s experiences.
- Collaborate with product managers, data scientists, designers, and operations to identify opportunities, prioritize initiatives, and deliver ML-powered features that feel intuitive and assistive.
- Develop scalable systems that help consumers easily discover and order food and groceries, while also surfacing personalized recommendations for future meals or unmet needs.
- Partner with other product & engineering teams to ensure ML frameworks and capabiliti