Staff Machine Learning Engineer
Sunnyvale, CA
- 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.
Read the full posting- 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)
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingOwn 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 qualificationsCore 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).
Tools in this posting
- PyTorch
Source — Tool mentions in context
+ Bachelor’s degree in Computer Science, Computer Engineering, or related fields. + Familiar with modern AI/ML frameworks (e.g., PyTorch). **Preferred Qualifications**
Posting record
Report an errorActively 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
- Oct 29, 2026 · 1 day ago
- Recorded sightings
- 4
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Oct 27, 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.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on www.uber.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
Source details
Source notes
Source excerptsSelected 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
Sunnyvale, CA
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.
This posting reached us through a job exchange.
Read the full description ↓See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.