[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 · New York, NY # Staff Machine Learning Engineer - Pricing New York City, NY, United States Full-time Senior individual contributor $232,000 per year Data & Analytics Listed on Uber’s official careers site. Posted October 12, 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/303364) [OpenNash Jobs](https://jobs.opennash.com/) / [Uber](https://jobs.opennash.com/companies/uber/) / Staff Machine Learning Engineer - Pricing ## Job description About the Role Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders. We are looking for exceptional ML engineers with a track record of extraordinary impact and with a passion for building large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team’s technical direction and solve some of Uber’s most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide. ### What You Will Do - Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence - Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips - Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers - Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems ### Basic Qualifications Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations - Research, or equivalent technical background with exceptional demonstrated impact - 6+ years experience leading the development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters Proficiency in programming languages such as Python, Scala, Java, or Go Proficiency with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. multi-objective, LP, convex optimization) ### Preferred Qualifications Experience developing multi-year technical strategies and cross-team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output of others - Track record of translating complex business problems into technical solutions and driving multi-functional projects across multiple teams - Excellent communication skills to lead initiatives across multiple product areas and collaborate effectively with cross-functional teams - Proficiency in reinforcement learning and causal machine learning ## Responsibilities ### 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: Oct 12, 2026 - First seen by OpenNash: Oct 19, 2026 - Last checked: Oct 19, 2026 - Listed for: 7 days - Location: New York City, NY, 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/303364) ## More jobs at Uber ### [Data Trust & AI Governance Lead](https://jobs.opennash.com/companies/uber/jobs/3915085ac38ea18ee5a4/) New York City, NY, United States ### [Machine Learning Engineer II, Pricing](https://jobs.opennash.com/companies/uber/jobs/fc932576ee38b89481df/) New York City, NY, United States ### [Account Manager II, Eats SMB](https://jobs.opennash.com/companies/uber/jobs/2b7b388b52801a0c421c/) New York City, NY, United States ### [Account Partner - Grocery & Retail](https://jobs.opennash.com/companies/uber/jobs/bbdf96cef8bf038550c7/) New York City, NY, United States ### [Agency Partner, Uber Advertising, US&CAN](https://jobs.opennash.com/companies/uber/jobs/fa01947e2bbc70818b05/) New York City, NY, 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 New York, NY](/locations/us/ny/new-york/)[Jobs in New York](/locations/us-ny/)[Data & Analytics jobs](/functions/data-analytics/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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