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Sr Machine Learning Engineer - Consumer Incentives

Uber

New York City, NY · HybridFull-time$202–224K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$202–224K/yr
Location
New York City, NYHybrid
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Senior Machine Learning Engineer will build products using scalable distributed systems and AI solutions to optimize consumer experiences across grocery and food. The role spans product architecture, evaluation, experimentation, deployment, and maintenance, with collaboration across product management, operations, and data science. The Consumer Incentives team focuses on growth and long-term profitability for Uber.

Skills & qualifications

RequiredNice to have

Skills

PythonGoJavaEnd-to-End ML SystemsCommunicationCross-Functional CollaborationProject OwnershipLarge-Scale Consumer Product DesignLeadershipMentoringExperimental DesignCausal Inference

Qualifications

Bachelor's in Related Field or Equivalent4+ Years Engineering Experience

Benefits

401(k) Match

Full job description

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

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.

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. (https://jobs.uber.com/en/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. (https://forms.gle/aDWTk9k6xtMU25Y5A?uclick\_id=d56eb634-bfb9-455e-a50d-901b3de0490c)

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

How this job compares

Set against the 6,127 open Machine Learning Engineer jobs on Olive Jobs, counted November 6, 2026.

Pay
  • This posting$202–224K/yr
  • New York median$172–246K/yr393 salary ranges
  • US median$150–245K/yr4,889 salary ranges

This range's midpoint, $213K, is close to the New York median midpoint ($213K) — in the middle half of Machine Learning Engineer salary ranges in New York.

Openings
Olive Jobs lists 506 open Machine Learning Engineer jobs in New York and 6,127 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 4 years of experience; Machine Learning Engineer postings that state a minimum ask for 5 years at the median (4,896 postings).
Education
2,195 of the 6,127 open Machine Learning Engineer jobs (36%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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