Senior Engineering Manager

Senior Engineering Manager - Machine Learning

Uber

Location:
United States , Sunnyvale ▼
San Francisco
New York

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

267000.00 - 297000.00 USD / Year

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Job Description:

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.

Job Responsibility:

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.

Requirements:

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.)

Nice to have:

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

What we offer:

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Additional Information:

Job Posted:
March 21, 2026

Employment Type:

Fulltime

Work Type:

Hybrid work

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