Staff Machine Learning Engineer - Pricing

Uber’s Dynamic Supply Pricing team is seeking a Staff Machine Learning Engineer to lead advanced ML and pricing model work for real-time driver pricing. Responsibilities Own technical strategy and roadmap planning over a 1+ year horizon Lead implementation, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence Design, develop, and productionize end-to-end ML solutions for large-scale distributed systems handling billions of trips Build novel pricing approaches for online marketplaces using machine learning, algorithmic game theory, and optimization Collaborate with engineers, product managers, and scientists to deliver high-impact technical solutions to complex business problems Requirements 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 of experience leading development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (example scale: 1M+ predictions/sec or 100M+ users) Demonstrated track record of delivering outstanding business impact over multiple quarters Programming proficiency in Python, Scala, Java, or Go Experience with large-scale data systems (Spark, Ray), real-time processing (Flink), and microservices architectures Proficiency in building, training, productionizing, and monitoring ML solutions at scale, from offline pipelines to online serving and MLOps Experience developing and deploying pricing algorithms for multi-sided real-time marketplaces involving strategic agent behavior Strong foundation in modern ML algorithms (DNNs, multi-task models, transformers) and mathematical optimization (multi-objective, LP, convex optimization) Preferred Qualifications Experience owning multi-year technical strategies and cross-team platform architecture Demonstrated ability to translate complex business problems into technical solutions and drive multi-functional, multi-team projects Excellent communication skills to lead initiatives across multiple product areas Proficiency in reinforcement learning and causal machine learning Technologies Python, Scala, Java, Go Spark, Ray, Flink Microservices architectures MLOps DNNs, transformers Compensation and Benefits Salary range: USD 232,000 - 258,000 per year Eligible to participate in Uber’s bonus program May be offered an equity award and other types of comp Eligible for a 401(k) plan Eligible for various benefits Location and Work Expectations Sunnyvale, CA (onsite) Unless approved for full remote work, employees must spend at least 50% of their time in-office Some roles may require full-time in-office presence (e.g., greenlight hubs) #J-18808-Ljbffr Uber