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Open nowPosted 17 days ago

Sr Machine Learning Engineer

Uber190 open roles

Pay
$202,000 – $224,000 a year
Where
San Francisco, CA, United States
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Your applicationOpen nowSr Machine Learning EngineerUber · San Francisco, CA, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Uber's own form.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Uber postings stay open a median of 21 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 17 days ago

Uber median: 21 days open

The posting

Job Description

About the Role and Team

Engineering at Uber means building for real-world impact under real-world constraints. As a L5 MLE on the Pricing & Incentives team team, you will build innovative products and scalable systems that power our global marketplace. Our systems produce real-time decision signals and sophisticated algorithms that other critical systems depend on every second. The problems here are complex, the systems are massive, and the stakes are immediate.

What you'll do

  1. Requires advanced ML expertise to design machine learning models to jointly optimize demand levers (TDF, TSF, HVAs, EUP). This role is necessary to improve marketplace efficiency by modeling the coordination across pricing and incentive levers.
  2. Own the software lifecycle end-to-end: from design docs through production rollout, debugging live issues, and managing incidents.
  3. Collaborate across disciplines — Product, Applied Science, and Ops — to translate ambiguous marketplace problems into robust system designs.

Basic Qualifications

  1. 5+ years of professional software engineering experience in ML, statistics, or optimization techniques, distributed systems, or large-scale data processing.
  2. Proficiency in one or more programming languages (e.g., Go, Java, Python).
  3. Experience designing and operating high-throughput, low-latency services, and translating customer or business problems into system design.
  4. Bachelor's Degree (or equivalent experience) in Computer Science, Engineering, or a related technical field.

Preferred Qualifications

  1. Experience with marketplace, pricing, dispatch, forecasting, or other real-time decision systems.
  2. Familiarity with real-time data streaming (e.g., Kafka, Flink) or time-series forecasting pipelines.
  3. Demonstrated ability to exercise sound judgment on engineering trade-offs where algorithm behavior has direct business impact.

Responsibilities

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

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.

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