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Senior Staff Machine Learning Engineer - Driver Pricing & Marketplace OptimizationJoin to apply for the Senior Staff Machine Learning Engineer - Driver Pricing & Marketplace Optimization role at UberSenior Staff Machine Learning Engineer - Driver Pricing & Marketplace Optimization1 week ago Be among the first 25 applicantsJoin to apply for the Senior Staff Machine Learning Engineer - Driver Pricing & Marketplace Optimization role at UberAbout The RoleWe're seeking an exceptional Senior Staff ML Engineer to lead breakthrough ML innovation in Uber's Driver Pricing organization. This is a high-impact role where you'll architect and build next-generation ML systems that directly optimize marketplace efficiency and driver earnings for millions of drivers globally.About The RoleWe're seeking an exceptional Senior Staff ML Engineer to lead breakthrough ML innovation in Uber's Driver Pricing organization. This is a high-impact role where you'll architect and build next-generation ML systems that directly optimize marketplace efficiency and driver earnings for millions of drivers globally.You'll tackle some of the most complex problems in applied machine learning: real-time pricing optimization, supply-demand balancing, and driver behavior modeling at unprecedented scale. Your work will involve cutting-edge techniques including causal inference, reinforcement learning, algorithmic game theory, and multi-objective optimization to solve challenges that don't exist anywhere else in the industry.As a Senior Staff ML Engineer reporting directly to the Engineering Director, you'll drive technical strategy, mentor senior engineers, and establish ML engineering excellence across the Driver Pricing organization while solving problems that directly impact tens of billions of dollars in marketplace transactions.What You Will DoTechnical Leadership & InnovationLead the design and implementation of advanced ML systems for dynamic pricing algorithms serving millions of drivers across 70+ countries around the worldArchitect real-time ML infrastructure handling 1M+ pricing decisions per second with sub-50ms latency requirementsDrive breakthrough research in causal ML, reinforcement learning, algorithmic game theory, and multi-objective optimization for marketplace optimization with strategic agentsOwn end-to-end ML model lifecycle from research through production deployment and continuous optimizationPlatform & ArchitectureBuild scalable ML architecture and feature management systems supporting Driver Pricing and broader Marketplace teamsDesign experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologiesEstablish ML engineering best practices, monitoring, and operational excellence across the organizationCreate platform abstractions that enable other ML engineers to iterate faster on pricing algorithmsCross-Functional ImpactPartner with Product, Operations, and Earner Experience teams to translate complex business requirements into ML solutionsCollaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML researchWork with Platform Engineering teams to ensure ML systems meet reliability and performance standardsInfluence technical roadmaps across multiple teams through technical leadership and strategic thinkingTeam DevelopmentMentor and grow senior ML engineers, establishing technical standards and engineering cultureLead technical discussions and architecture reviews for complex ML systemsDrive knowledge sharing and technical excellence across the Driver Pricing engineering organizationBasic QualificationsPhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master's degree with 12+ years of industry experience10+ years of experience building and deploying ML models in large-scale production environmentsExpert-level proficiency in modern ML frameworks (TensorFlow, PyTorch, JAX) and distributed computing platforms (Spark, Ray)Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, Algorithmic Game Theory, and Large-scale Ads Ranking/Auction SystemsProven track record of leading complex ML projects from research through production with significant measurable business impactStrong programming skills in Python, Java, or Go with experience building production ML systemsExperience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)Technical leadership experience including mentoring senior engineers and driving cross-team technical initiativesPreferred QualificationsMarketplace or two-sided platform ML experience with understanding of supply-demand dynamics and pricing mechanismsPublications or patents in applied machine learning, particularly in areas relevant to optimization, pricing, or marketplace dynamicsExperience with causal inference methodologies and their application to business problems with network effectsReinforcement learning experience in production environments with long-term optimization and strategic agent considerationsTechnical leadership experience including mentoring senior engineers and driving cross-team technical initiativesExperience with real-time ML systems requiring low-latency inference and high-throughput model servingBackground in economics, operations research, or related quantitative disciplines with application to marketplace problemsExperience with Ads ranking and auction systems with strategic bidding agents and real-time optimizationTechnical SkillsRequiredAdvanced Deep Learning and Neural Network architecturesScalable ML architecture and distributed model trainingFeature engineering and real-time feature servingML model deployment, monitoring, and lifecycle managementStatistical analysis and experimental design for ML systemsCausal Machine Learning and causal inference methodologiesReinforcement Learning and Multi-Armed BanditsMulti-objective optimization and Pareto efficiencyAlgorithmic Game Theory for strategic agent modelingPreferred:Personalization and ranking systems at scaleTime series forecasting and demand predictionGraph-based ML for network effects modelingExperience with Ads ranking and auction systemsFor New York, NY-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. 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. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits., For New York, NY-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For Seattle, WA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$257,000 per year - USD$285,500 per year. 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. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.Seniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesInternet Marketplace PlatformsReferrals increase your chances of interviewing at Uber by 2xSign in to set job alerts for “Machine Learning Engineer” roles.San Francisco, CA $149,998.00-$250,000.00 9 hours agoSan Francisco, CA $140,670.00-$195,400.00 2 weeks agoResearch Engineer - Machine Learning (ML)Software Engineer, Credit Card and SoFi MoneySan Francisco, CA $105,600.00-$198,000.00 1 month agoSan Francisco, CA $140,000.00-$180,000.00 6 months agoMachine Learning Engineer (I, II, or Sr.)Machine Learning Scientist, NLP (All Levels)San Francisco, CA $200,000.00-$300,000.00 5 months agoSan Francisco, CA $160,000.00-$185,000.00 2 weeks agoSan Francisco, CA $140,000.00-$235,000.00 4 days agoSan Francisco, CA $150,000.00-$260,000.00 5 months agoMachine Learning Scientist, NLP (All Levels)San Francisco, CA $200,000.00-$300,000.00 5 months agoMachine Learning Engineer (I, II, or Sr.)Data Scientist II – Experimentation & MeasurementSan Mateo, CA $153,300.00-$229,900.00 1 week agoSan Francisco, CA $100,000.00-$180,000.00 1 year agoSan Francisco, CA $115,000.00-$185,000.00 2 weeks agoSan Francisco, CA $140,000.00-$156,000.00 4 hours agoSan Francisco, CA $180,000.00-$270,000.00 4 months agoSan Francisco, CA $140,000.00-$290,000.00 8 months agoRedwood City, CA $167,200.00-$250,800.00 1 week agoSan Francisco, CA $100,000.00-$300,000.00 3 weeks agoMachine Learning for Healthcare InternshipSan Francisco, CA $70,000.00-$120,000.00 6 days agoSan Francisco, CA $190,000.00-$355,000.00 2 weeks agoSan Francisco, CA $150,000.00-$250,000.00 1 month agoSan Francisco, CA $175,000.00-$225,000.00 9 months agoSan Mateo, CA $140,000.00-$210,000.00 1 month agoWe’re unlocking community knowledge in a new way. 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