[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 · Sunnyvale, CA # Machine Learning Engineer II - Semantics, AV Labs Sunnyvale, CA, United States Full-time $171,000 per year Data & Analytics Listed on Uber’s official careers site. Posted August 5, 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/301475) [OpenNash Jobs](https://jobs.opennash.com/) / [Uber](https://jobs.opennash.com/companies/uber/) / Machine Learning Engineer II - Semantics, AV Labs ## Job description About the Role Uber is launching AV Labs to accelerate the autonomous technology ecosystem. We're building out a high-velocity team of multi-disciplinary experts to turn real-world operations into high-quality data for our autonomous partners. This team is focused on the hardest problem in AV today: unlocking real-world, long-tail driving data. Autonomy is now a data race—and Uber has an edge: We collect rare, real-world driving data at a scale and capital efficiency no one else can match. As a ML Engineer, you will be at the forefront of Physical AI, building advanced autonomy algorithms and models to add rich semantics to our massive driving data. You will be responsible for the development and implementation of the latest machine learning techniques that enables better data mining, deep scene understanding, and causal modeling of ego vehicle behavior.The ideal candidate will be able to identify complex edge cases, provide robust algorithmic solutions, and set a high technical excellence bar. ### What You Will Do Algorithm Development: Develop algorithms and foundation models that extract high-fidelity semantic meaning from complex urban edge cases to enrich our L4 data lake. ### System Design Implement scalable ML systems, including management of upstream sensor dependencies. ### Dataset Optimization Deliver high-quality datasets to accelerate ML technologies through advanced sensor data collection, processing, and auto-labeling. ### Cross-Functional Collaboration Partner with platform, product, and security engineering teams to enable the successful deployment of the latest machine learning techniques into production. ### Basic Qualifications 2+ years of working experience in the ML/Robotics industry. Bachelor’s degree (or higher) in Computer Science, Computer Engineering, or related fields. Proficient in Python and Linux environments. Familiar with modern AI/ML frameworks (e.g., PyTorch). ### Preferred Qualifications Experience in the Autonomous Driving domain. Proven track record of deploying ML models in safety-critical physical systems. Master’s or PhD degree in Computer Vision, Robotics, or Machine Learning. Familiarity with C++ and high-performance computing. ## Responsibilities ### For Sunnyvale, CA-based roles The base salary range for this role is USD $171,000 per year - USD $190,000 per year. 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: Aug 5, 2026 - First seen by OpenNash: Oct 19, 2026 - Last checked: Oct 19, 2026 - Listed for: 75 days - Location: Sunnyvale, CA, United States - Employment type: Full-time - Pay: $171,000 per year[Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/301475) ## More jobs at Uber ### [Data Center Engineer, Structured Cabling & Physical Network](https://jobs.opennash.com/companies/uber/jobs/b81f4f49ba53fe3437f8/) Sunnyvale, CA, United States ### [Machine Learning Engineer II - AV Labs](https://jobs.opennash.com/companies/uber/jobs/2f18b9be6d507b8aff01/) Sunnyvale, CA, United States ### [Senior Machine Learning Engineer – Semantics - AV Labs](https://jobs.opennash.com/companies/uber/jobs/96425710b96164fabf3b/) Sunnyvale, CA, United States ### [Senior Staff Machine Learning Engineer - Core Services Engineering](https://jobs.opennash.com/companies/uber/jobs/0b5a73ac91b87c25999f/) Sunnyvale, CA, United States ### [Staff Machine Learning Engineer - Semantics - AV Labs](https://jobs.opennash.com/companies/uber/jobs/cbb4c808afb6643e9d05/) Sunnyvale, CA, United States ## Similar jobs at other companies ### [Software Development Engineer (Machine Learning)](https://jobs.opennash.com/companies/fortinet/jobs/b767b5cf9b10bdd48539/) Fortinet · Sunnyvale, CA, United States ### [Staff Machine Learning Engineer](https://jobs.opennash.com/companies/intuitive/jobs/c785a2a23b4973064c98/) Intuitive · Sunnyvale, CA, United States ### [Senior Machine Learning Engineer](https://jobs.opennash.com/companies/microsoft/jobs/a28bc03521860e161cf2/) Microsoft · United States, Massachusetts, Cambridge ### [Senior Machine Learning Engineer](https://jobs.opennash.com/companies/cvs-health/jobs/6997911d5e1c02b976f9/) CVS Health · New York, NY ### [A/AI Machine Learning Engineer](https://jobs.opennash.com/companies/lockheed-martin/jobs/653cd776436867ec18c7/) Lockheed Martin · Manassas, VA [Jobs in Sunnyvale, CA](/locations/us/ca/sunnyvale/)[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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