Senior Software Engineer - Machine Learning at Uber Freight
San Francisco, CA
$183,000–$223,200from the description
Jul 1, 2026
San Francisco, CA
Jul 21, 2026
What this job asks for AI summary
A senior machine learning engineering role focused on building and maintaining predictive models for a freight marketplace platform. The work spans the full model lifecycle — from research and prototyping through to production deployment and monitoring — with a core emphasis on logistics optimization and network effects using classical ML, alongside some integration of generative AI and agentic systems. Suits experienced ML engineers comfortable operating at scale with large datasets.
Senior level · 5+ years · Chicago, IL · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 520 people in the Chicago, IL area plausibly meet what this posting asks for (data scientists). range 390–810
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $110,007 (middle half $86,460–$141,249). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (5)
The salary range ($183,000–$223,200/year) is explicitly stated for California-based roles only; compensation for other locations is not specified.
The role is listed as Hybrid but no specific office location is named in the posting. Uber Freight's primary US hubs include Chicago, IL and San Francisco, CA; the CBSA is left unspecified as the posting does not confirm a city.
A BS/MS/PhD in CS, Data Science, or ML is listed under Preferred Qualifications and explicitly accepts 'equivalent practical experience,' so no minimum degree is hard-required.
LLMs and generative AI experience appear only under Preferred Qualifications, as does stream/graph processing (Storm, Spark, Flink).
The role sits at the intersection of ML engineering and data science; the alternative occupation 15-1252 (Software Developers) reflects the strong production engineering emphasis (deploying models at scale, production monitoring, system design).
Read the full posting
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