Sr Machine Learning Engineer - Consumer Incentives

Posted Yesterday
Be an Early Applicant
3 Locations
In-Office
202K-224K Annually
Senior level
Logistics • Transportation • 3PL: Third Party Logistics
We reimagine the way the world moves for the better.
The Role
Build and launch scalable distributed systems and AI-powered products for Uber’s consumer incentives business. Own machine learning projects end to end, including scoping, offline evaluation, experimentation, production deployment, algorithm tuning, and post-launch maintenance. Collaborate with product, operations, and data science stakeholders while optimizing consumer experiences and business outcomes across grocery and food verticals.
Summary Generated by Built In

About the role and team 

Operating across key business areas like grocery and food, the Consumer Incentives team drives Uber's growth and long-term profitability. We build products that power seamless, affordable, and enjoyable customer experiences by building sophisticated distributed systems and AI-powered optimizations to scale products for hundreds of millions of global users.

What you’ll do 

In this role, you will build products powered by scalable distributed systems and advanced AI solutions. Your work will optimize user experiences across multiple verticals, such as grocery and food, while fostering sustainable business growth. Key responsibilities include:

  • Architecting and launching products to power key consumer experience and business outcomes.
  • Overseeing full project lifecycles spanning initial scoping, offline evaluation, experimental testing, production deployment, and post-launch maintenance.
  • Designing, tuning, and enhancing systems and algorithms to operate at scale.
  • Partnering with cross-functional stakeholders across product management, operations, and data science.

Basic Qualifications 

  • Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience.
  • Proficiency in at least one programming language such as Python, Go, or Java
  • Experience in building and productionizing innovative end-to-end ML systems.
  • Strong communication skills and ability to work effectively with cross-functional partners
  • Strong sense of ownership to drive projects end-to-end

Preferred Qualifications 

  • Track record of designing and delivering large-scale consumer products
  • Demonstrated leadership skills, with experience in mentoring and guiding junior engineers.
  • Proven experience in experimental design and causal inference

Responsibilities

For New York City, NY-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.


For San Francisco, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.


For Seattle, WA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 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.

About Us

Ready to Ride?

This isn't the kind of place where you follow a playbook — it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves — we'd love to hear from you.

You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and Uber's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

Uber is proud to be an Equal Opportunity 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.

Skills Required

  • Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics, or a related field
  • 4+ years of full-time engineering experience
  • Proficiency in at least one programming language such as Python, Go, or Java
  • Experience building and productionizing innovative end-to-end machine learning systems
  • Strong communication skills and ability to work effectively with cross-functional partners
  • Strong sense of ownership to drive projects end to end
  • Track record of designing and delivering large-scale consumer products
  • Leadership skills, including mentoring and guiding junior engineers
  • Experience in experimental design and causal inference

Uber Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uber and has not been reviewed or approved by Uber.

  • Parental & Family Support Policies provide a minimum of fully paid parental leave for all parents and financial support for fertility, adoption, and surrogacy, with added credits to ease the transition. Programs extend to family medical leave and parenting support resources, indicating depth beyond baseline offerings.
  • Healthcare Strength Healthcare coverage is described as comprehensive across many countries, with medical, dental, vision, life, disability, and mental health benefits, plus allowances where direct plans are not available. Wellness programs and reimbursements further reinforce access to care.
  • Wellbeing & Lifestyle Benefits Monthly ride and meal credits, free office meals/snacks, fitness stipends, onsite gyms, and wellbeing reimbursements create meaningful everyday value. Home‑office stipends, travel medical coverage, and counseling support round out lifestyle-oriented perks.

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The Company
HQ: San Francisco, CA
21,000 Employees
Year Founded: 2009

What We Do

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real-time. At the incredible speed of now.

Why Work With Us

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

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