Principal Engineer - Driver Pricing & Marketplace ...

Join to apply for the Principal Engineer - Driver Pricing & Marketplace Optimization role at Jobs via Dice1 day ago Be among the first 25 applicantsJoin to apply for the Principal Engineer - Driver Pricing & Marketplace Optimization role at Jobs via DiceAbout The RoleAre you passionate about shaping business and product strategy through the power of data? Do you thrive on solving complex problems and uncovering actionable insights that drive innovation? If so, this role might be the perfect fit for you.About The RoleAre you passionate about shaping business and product strategy through the power of data? Do you thrive on solving complex problems and uncovering actionable insights that drive innovation? If so, this role might be the perfect fit for you.Principal engineers at Uber have a deep impact across a wide variety of business and technology decisions spanning multiple programs, projects and locations. They are passionate and pragmatic technologists who are able to design and architect highly-available, secure scalable and resilient systems while delivering efficient code. They are not only collaborative role models, but also approachable leaders with a point of view within a larger group. They are humble teachers, technically mentoring a team of passionate engineers while also delivering uniquely challenging projects. A Principal-level Engineering role at Uber is special, representing the top 2% of Engineers at Uber.The Marketplace Engineering team is looking for an exceptional Principal 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 Principal 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'll 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 optimizationDevelop and enforce best practices in system design, ensuring data integrity, security, and optimal performanceServe as a representative for the Marketplace organization to the broader internal and external technical communityContribute to the eng brand for Marketplace and serve as a talent magnet to help attract and retain talent for the teamStay abreast of industry trends and emerging technologies in software engineering, focused particularly on ML/AI, to enhance our systems and processes continuallyPlatform & 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 thinkingCollaborate with internal ML/AI infra teams at Uber to build and deploy AI solutions that have a meaningful impact to the businessTeam 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 organizationWhat You'll NeedPhD 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 initiativesAdvanced 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 modelingBonus Points IfMarketplace 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 optimizationPersonalization and ranking systems at scaleTime series forecasting and demand predictionGraph-based ML for network effects modelingExperience with Ads ranking and auction systemsWhy This Role MattersYour ML innovations will directly impact:Driver earnings optimization affecting millions of drivers' livelihoods globallyMarketplace efficiency balancing supply and demand across diverse global marketsBusiness performance influencing tens of billions of dollars in gross bookings annuallyTechnical excellence establishing ML engineering standards used across UberWhat We ValueExceptional technical depth combined with practical engineering skills to deliver production ML systemsStrategic thinking about ML architecture and long-term technical roadmapsCollaborative leadership building consensus around technical decisions across multiple teamsResults orientation with focus on measurable business impact and engineering excellenceIntellectual curiosity driving innovation in applied ML research and productionizationLocationPreferred locations (in order of preference):San Francisco / Sunnyvale, CASeattle, WANew York, NYToronto, CanadaAbout The TeamThe [Uber Marketplace]( id=2865c29d-7207-4c2d-80a5-29617f789889) is designed to move riders & drivers efficiently from where they are to where they want to go. Every dollar that is transacted in the Uber Marketplace (driver forecasting, dynamic pricing fares, matching driver/rider pricing, and overall marketplace health) is informed and influenced by data - and our Data Science team understands, analyzes, and helps design the algorithms that enable millions of earners and consumers to ride, deliver, eat, and move daily.Uber operates in a constantly-evolving and competitive environment, across a diverse set of markets and product categories. Assessing the success or failure of a product or investment strategy depends on deeply understanding this context and quantifying the impact with thoughtfully-defined success metrics. Doing this - and doing it well - at Uber's global scale is an interesting and complex problem with meaningful impact on our P&L.The Marketplace Science & Engineering team applies their expertise in statistical modeling, machine learning, economics, data analysis, and business strategy to build scalable data platforms, generate actionable insights, and drive our algorithm and product development decisions.For Canada-based roles: The base salary range for this role is CAD$270,000 per year - CAD$300,000 per year.For New York, NY-based roles: The base salary range for this role is USD$284,000 per year - USD$315,500 per year.For San Francisco, CA-based roles: The base salary range for this role is USD$284,000 per year - USD$315,500 per year.For Seattle, WA-based roles: The base salary range for this role is USD$284,000 per year - USD$315,500 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 [](;br>Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](;br>Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. 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Created: 2025-09-17