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Staff Machine Learning Engineer

Pay
Multiple pay statements — pay source
+ Experience with causal inference and constrained optimization For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year. For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year. For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
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Work setting
Working pattern needs review — work setting source
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)
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Employment
Not stated

What you’ll work on

Full posting
  • Own end-to-end ML models for the Uber Freight marketplace

  • Develop models for cost prediction, booking probability and demand elasticity

  • Work with backend engineers to deploy models and check they perform as expected

From the employer’s posting
This role requires end to end ownership for the ML models in UF marketplace
cost prediction, booking probability, demand elasticity, etc.
you will work with backend engineers together to put them in production and make sure they work as expected

What you’ll bring

All qualifications

Core experience

  • 6+ years developing ML models for business problems
  • Bachelor's degree in Computer Science, Computer Engineering, or related field
  • Familiarity with modern AI/ML frameworks such as PyTorch

Preferred experience

  • Product experience
  • Experience with marketplace technology
  • Experience with causal inference and constrained optimization
Qualification wording
6+ years of experience developing ML models to solve business problem.
Bachelor’s degree in Computer Science, Computer Engineering, or related fields.
Familiar with modern AI/ML frameworks (e.g., PyTorch).
Product experience will be a big plus for this role.
Previous experience with state-of-the-art marketplace technology is preferred.
Experience with causal inference and constrained optimization
Education & alternatives
+ 6+ years of experience developing ML models to solve business problem. + Bachelor’s degree in Computer Science, Computer Engineering, or related fields. + Familiar with modern AI/ML frameworks (e.g., PyTorch).
Apply at Uber

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026

We found this posting on the National Labor Exchange. These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$166K–$240K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 69.

From 4,423 similar postings that came down. Coming down is not always a hire.

Uber is hiring

96 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • 5% of open jobs were reposted
Hiring record

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  • PyTorch
Where the posting names them
+ Bachelor’s degree in Computer Science, Computer Engineering, or related fields. + Familiar with modern AI/ML frameworks (e.g., PyTorch). **Preferred Qualifications**

Your next step

Complete your application on www.uber.com. The employer’s form will show what is required.

Already applied? Track this application

Has Uber posted this job before?

Yes. We’ve followed 15 other Staff Machine Learning Engineer jobs there since October 2026. All 15 are still up.

  1. SunnyvaleStill up after 7 days, first seen Oct 29
  2. New YorkStill up after 6 days, first seen Oct 30
  3. SunnyvaleStill up after 6 days, first seen Oct 30
  4. San FranciscoStill up after 6 days, first seen Oct 30
  5. San FranciscoStill up after 2 days, first seen Nov 3
  6. SeattleStill up after 2 days, first seen Nov 3
  7. New YorkStill up after 2 days, first seen Nov 3
  8. ChicagoStill up after 2 days, first seen Nov 3
  9. This jobUp 2 days so far, first seen Nov 3

Large employers often post one title for several teams, so these can be separate openings.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

**About the Role** Uber Freight Marketplace is building the next generation of logistics technology by leveraging Uber’s proven marketplace playbook to freight. As part of a small, high-impact team, you'll help bring expertise from Uber’s mobility and delivery marketplaces into a rapidly evolving industry, developing pricing, matching, recommendation, and optimization systems that will disrupt the freight industry ($1T TAM). Uber Freight is at a very early stage, with just 0.4% of the pie now, and it's a rare opportunity to solve challenging marketplace problems with AI/ML and marketplace optimization while shaping how the freight industry transforms. We are looking for a highly motivated Machine Learning Engineer to join Uber’s Marketplace team to modernize the Uber Freight marketplace team. It is a fascinating area with challenges in predictive modeling, causal inference, constrained optimization, reinforcement learning, marketplace design, etc. The business is about to elevate and this role has a huge growing opportunity. **What You'll Do** This role requires end to end ownership for the ML models in UF marketplace (cost prediction, booking probability, demand elasticity, etc.). While your job is mostly about model development, you will work with backend engineers together to put them in production and make sure they work as expected. **Basic Qualifications** + 6+ years of experience developing ML models to solve business problem. + Bachelor’s degree in Computer Science, Computer Engineering, or related fields. + Familiar with modern AI/ML frameworks (e.g., PyTorch). **Preferred Qualifications** + Product experience will be a big plus for this role. Adaptive development of ML models to the business context is critical. + Previous experience with state-of-the-art marketplace technology is preferred. + Experience with causal inference and constrained optimization For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year. For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 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
Source details

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Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay
+ Experience with causal inference and constrained optimization For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year. For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.
More source context
For Chicago, IL-based roles: The base salary range for this role is USD $209,000 per year - USD $232,000 per year. For New York City, NY-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD $232,000 per year - USD $258,000 per year.

More relevant text appears in the full description.

Location & working pattern

New York City, NY

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)
Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

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