[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 - Risk and Trust San Francisco, CA, United States Full-time Senior individual contributor $232,000 per year Data & Analytics Listed on Uber’s official careers site. Posted October 13, 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/303114) [OpenNash Jobs](https://jobs.opennash.com/) / [Uber](https://jobs.opennash.com/companies/uber/) / Staff Machine Learning Engineer - Risk and Trust ## Job description About the Role We are looking for an experienced Staff Machine Learning Engineer to join Uber's Risk and Trust engineering organization. Our team plays a critical role in protecting users and maintaining the integrity of Uber's global platform through advanced fraud prevention, identity verification, and account security solutions. As fraud threats continue to evolve, including increasingly sophisticated AI-driven attacks, we leverage cutting-edge machine learning techniques to build scalable, intelligent risk detection and prevention systems. In this role, you will lead the development of high-impact ML solutions, tackle complex technical challenges, and collaborate closely with cross-functional partners to deliver measurable business impact while maintaining seamless user experiences. ### What You'll Do Collaborate with product, data science, and engineering partners to proactively identify high-impact business opportunities, formulate complex ML problems, and help shape the team's technical roadmap. Apply deep expertise in machine learning, optimization, and statistics to design and develop innovative, scalable, and robust ML solutions that drive measurable business impact. Provide technical leadership on complex ML initiatives, drive engineering best practices, and mentor other MLEs to elevate the team's technical capabilities. Own the end-to-end ML development lifecycle, including data preparation, feature engineering, model development, system design, implementation, A/B testing, deployment, and production monitoring. Partner with cross-functional teams to productionize ML solutions at scale. ### Basic Qualifications 8+ years of industry experience developing machine learning models, including classical ML and deep learning, and deploying ML solutions to production. Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field. Strong problem-solving skills and a solid foundation in machine learning algorithms, statistics, and optimization. Demonstrated experience applying ML techniques to solve complex, large-scale real-world problems. Proficiency in Python and experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX. Experience building large-scale data pipelines and working with distributed data processing frameworks such as Spark and SQL-based systems. ### Preferred Qualifications PhD in Computer Science, Engineering, Mathematics, Statistics, or a related technical field. Hands-on experience with advanced ML techniques, such as deep learning, representation learning, sequence modeling, multi-task learning, reinforcement learning or large language models. Experience developing ML solutions for fraud detection, anomaly detection, or other adversarial environments. Demonstrated ability to independently drive complex ML projects from problem formulation through production deployment. Experience working with large-scale, real-time ML systems and making data-driven decisions in production environments. ## Responsibilities ### 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 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: Oct 13, 2026 - First seen by OpenNash: Oct 19, 2026 - Last checked: Oct 19, 2026 - Listed for: 6 days - Location: San Francisco, CA, United States - Employment type: Full-time - Pay: $232,000 per year[Apply on Uber’s careers site →](https://iaziqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/UberCareers/job/303114) ## 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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