[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 # Machine Learning Engineer II, Pricing New York City, NY, United States Full-time $171,000 per year Data & Analytics Listed on Uber’s official careers site. Posted October 14, 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/303474) [OpenNash Jobs](https://jobs.opennash.com/) / [Uber](https://jobs.opennash.com/companies/uber/) / Machine Learning Engineer II, 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 - Design, develop, and productionize 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 - Partner with senior engineers to plan the scope and execution of projects and mentor junior team members on design and implementation - 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 - 2+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments - Proficiency in programming languages such as Python, Scala, Java, or Go Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps Familiarity with modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization), combined with proven ability and ambition to continuously deepen expertise in these areas ### Preferred Qualifications Experience in translating ambiguous business problems into technical solutions in a structured and principled way Strong communication skills, including through documentation and design discussions Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior Experience in reinforcement learning and causal machine learning ## Responsibilities ### For New York City, NY-based roles The base salary range for this role is USD $171,000 per year - USD $190,000 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 14, 2026 - First seen by OpenNash: Oct 19, 2026 - Last checked: Oct 19, 2026 - Listed for: 5 days - Location: New York City, NY, 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/303474) ## More jobs at Uber ### [Data Trust & AI Governance Lead](https://jobs.opennash.com/companies/uber/jobs/3915085ac38ea18ee5a4/) New York City, NY, United States ### [Staff Machine Learning Engineer - Pricing](https://jobs.opennash.com/companies/uber/jobs/48f083f8df35445bce4f/) 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 ### [Lead Machine Learning Engineer - Agentic Pricing](https://jobs.opennash.com/companies/jpmorganchase/jobs/2032a3e6366e34aa450d/) JPMorganChase · Jersey City, NJ, 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 ### [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 [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. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)