Senior Engineering Manager - (Machine Learning) Uber Eats

Uber • Sunnyvale, CA • 6h ago

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 capabilities are leveraged to create cohesive, delightful user experiences.

Stay on top of industry trends and emerging best practices in machine learning and personalization to ensure Uber Eats continues to lead in innovation.

Basic Qualifications:

MS or equivalent experience in Computer Science, Engineering, Mathematics, or related field

10+ years of industry experience in software engineering and AI/ML

5+ years of experience directly managing engineering or ML teams, with a track record of hiring, mentoring, and growing high-performance teams

Deep understanding of machine learning fundamentals, with practical experience applying them to real-world problems.

Experience working with cross-functional teams (product, science, product ops, etc.)

Preferred Qualifications:

Experience leading team of teams through other managers

PhD in Machine Learning, Computer Science, Statistics, or a related field with research or applied focus on large-scale ML systems.

Experience in consumer-facing products, with a focus on personalization, content recommendation, and understanding user @context to create tailored experiences

Demonstrated ability to align technical investments with high-impact use cases and broader business objectives

Experience crafting an ML-first vision, identifying machine learning needs across multiple products, and proposing solutions that serve long-term user and business needs

Proven ability to navigate a diverse set of opinions among cross-functional teams, synthesize different perspectives, and drive decisions effectively

Strong communication skills, with the ability to articulate complex ideas clearly to both technical and non-technical audiences

For New York, NY-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$267,000 per year - USD$297,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other @types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform

Management & Administrative

Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help...

10h ago

Go to Apply

AGS Training Services Etch New Product (NPI) Instructor III - (E3)

Applied Materials • Santa Clara, CA • 10h ago

Management & Administrative

10h ago

Go to Apply

Republic Services • San Jose, CA • 21h ago

Management & Administrative

POSITION SUMMARY: The Regional Account Manager is responsible for proactively maintaining and retaining relationships with existing customers for Environmental Solutions customers in an assigned territory and/or assigned...

21h ago

Go to Apply

Subscribe to get new jobs sent directly to you
(no charge, cancel anytime)

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.