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Principal Engineer - Marketplace

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Uber

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Location:
United States , San Francisco

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Contract Type:
Not provided

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Salary:

302000.00 - 336000.00 USD / Year

Job Description:

Principal Engineer role in the Marketplace Engineering team 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.

Job Responsibility:

  • Lead the design and implementation of advanced ML systems for dynamic pricing algorithms serving millions of drivers across 70+ countries around the world
  • Architect real-time ML infrastructure handling 1M+ pricing decisions per second with sub-50ms latency requirements
  • Drive breakthrough research in causal ML, reinforcement learning, algorithmic game theory, and multi-objective optimization for marketplace optimization with strategic agents
  • Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
  • Develop and enforce best practices in system design, ensuring data integrity, security, and optimal performance
  • Serve as a representative for the Marketplace organization to the broader internal and external technical community
  • Contribute to the eng brand for Marketplace and serve as a talent magnet to help attract and retain talent for the team
  • Stay abreast of industry trends and emerging technologies in software engineering, focused particularly on ML/AI, to enhance our systems and processes continually
  • Build scalable ML architecture and feature management systems supporting Driver Pricing and broader Marketplace teams
  • Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies
  • Establish ML engineering best practices, monitoring, and operational excellence across the organization
  • Create platform abstractions that enable other ML engineers to iterate faster on pricing algorithms
  • Partner with Product, Operations, and Earner Experience teams to translate complex business requirements into ML solutions
  • Collaborate with Marketplace Engineering and Science teams to productionize cutting-edge ML research
  • Work with Platform Engineering teams to ensure ML systems meet reliability and performance standards
  • Influence technical roadmaps across multiple teams through technical leadership and strategic thinking
  • Collaborate with internal ML/AI infra teams at Uber to build and deploy AI solutions that have a meaningful impact to the business
  • Mentor and grow senior ML engineers, establishing technical standards and engineering culture
  • Lead technical discussions and architecture reviews for complex ML systems
  • Drive knowledge sharing and technical excellence across the Driver Pricing engineering organization

Requirements:

  • PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master’s degree with 12+ years of industry experience
  • 10+ years of experience building and deploying ML models in large-scale production environments
  • Expert-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 Systems
  • Proven track record of leading complex ML projects from research through production with significant measurable business impact
  • Strong programming skills in Python, Java, or Go with experience building production ML systems
  • Experience 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 initiatives
  • Advanced Deep Learning and Neural Network architectures
  • Scalable ML architecture and distributed model training
  • Feature engineering and real-time feature serving
  • ML model deployment, monitoring, and lifecycle management
  • Statistical analysis and experimental design for ML systems
  • Causal Machine Learning and causal inference methodologies
  • Reinforcement Learning and Multi-Armed Bandits
  • Multi-objective optimization and Pareto efficiency
  • Algorithmic Game Theory for strategic agent modeling

Nice to have:

  • Marketplace or two-sided platform ML experience with understanding of supply-demand dynamics and pricing mechanisms
  • Publications or patents in applied machine learning, particularly in areas relevant to optimization, pricing, or marketplace dynamics
  • Experience with causal inference methodologies and their application to business problems with network effects
  • Reinforcement learning experience in production environments with long-term optimization and strategic agent considerations
  • Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives
  • Experience with real-time ML systems requiring low-latency inference and high-throughput model serving
  • Background in economics, operations research, or related quantitative disciplines with application to marketplace problems
  • Experience with Ads ranking and auction systems with strategic bidding agents and real-time optimization
  • Personalization and ranking systems at scale
  • Time series forecasting and demand prediction
  • Graph-based ML for network effects modeling
  • Experience with Ads ranking and auction systems
What we offer:
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of comp
  • Eligible to participate in a 401(k) plan
  • Eligible for various benefits (details at provided link)

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:
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