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Data reviewed by JobGiant Research Desk
Listing via The Muse
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
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.
Take-home estimate
Pay not listed
* Estimate before other deductions (health insurance, 401k, local taxes). Not tax advice.
Tax year 2026 numbers. Sources:
Salary
Not listed
Job Type
Full-time
Location
Chicago, IL; New York, NY; San Francisco, CA; Seattle, WA; Sunnyvale, CA
Industry
Education