[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Uber jobs](https://jobs.opennash.com/companies/uber/) · [Search jobs](/search/) Uber · San Francisco, CA # Staff Machine Learning Engineer San Francisco, CA, United States Full-time Senior individual contributor $209,000 per year Data & Analytics Listed on Uber’s official careers site. Posted July 31, 2026. Check that it is still open and apply there. [Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/160305) [OpenNash Jobs](https://jobs.opennash.com/) / [Uber](https://jobs.opennash.com/companies/uber/) / Staff Machine Learning Engineer ## Job description 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 ## Responsibilities ### 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 Sunnyvale, CA-based roles 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. ## At a glance - Posted by the employer: Jul 31, 2026 - First seen by OpenNash: Oct 19, 2026 - Last checked: Oct 19, 2026 - Listed for: 80 days - Location: San Francisco, CA, United States - Employment type: Full-time - Pay: $209,000 per year[Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/160305) ## More jobs at Uber ### [Manager II, Analytics - Financial Operations](https://jobs.opennash.com/companies/uber/jobs/f5cd588297da8b1fc82e/) San Francisco, CA, United States ### [Sr Machine Learning Engineer](https://jobs.opennash.com/companies/uber/jobs/fae99b509ece74d29600/) San Francisco, CA, United States ### [Sr Machine Learning Engineer- Maps Optimization](https://jobs.opennash.com/companies/uber/jobs/3862e7851681f1a10554/) San Francisco, CA, United States ### [Sr People Analytics Analyst](https://jobs.opennash.com/companies/uber/jobs/201c16c0e24b819adb8d/) San Francisco, CA, United States ### [Sr Staff Machine Learning Engineer - Uber AI Solutions](https://jobs.opennash.com/companies/uber/jobs/7900e1374bfb8271c25c/) San Francisco, CA, United States ## Similar jobs at other companies ### [Senior Staff Engineer, Machine Learning Engineering ( On-device Learning SW)](https://jobs.opennash.com/companies/qualcomm/jobs/d561df305202050c72d5/) Qualcomm · San Diego, California, United States of America ### [Staff Machine Learning Software Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/1c015546a5addf14b5ac/) Qualcomm · San Diego, California, United States of America ### [AI Machine Learning Engineering Staff](https://jobs.opennash.com/companies/lockheed-martin/jobs/a50fa89c9d061673bf86/) Lockheed Martin · Virtual Three, TX ### [A/AI Machine Learning Engineering Staff - Clearance Required](https://jobs.opennash.com/companies/lockheed-martin/jobs/fee14b837ea19e8438a2/) Lockheed Martin · Huntsville, AL ### [Senior Machine Learning Engineer](https://jobs.opennash.com/companies/microsoft/jobs/a28bc03521860e161cf2/) Microsoft · United States, Massachusetts, Cambridge [Jobs in San Francisco, CA](/locations/us/ca/san-francisco/)[Jobs in California](/locations/us-ca/)[Data & Analytics jobs](/functions/data-analytics/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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