Staff Machine Learning Engineer - Marketplace Pricing

About This Role

Lead the design, development, and productionization of advanced machine learning models and pricing algorithms for Uber's multi-sided real-time marketplace, contributing to multi-billion dollar opportunities.

Responsibilities

• Drive technical strategy and roadmap ownership over a 1+ year horizon, including platform-level architecture decisions and executive communication
• Lead the design, development, and productionization of 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
• Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems
• Own implementation, technical mentorship, and cross-team technical influence

Requirements

• 6+ years experience leading the development and deployment of ML models and optimization algorithms in large-scale production environments
• Track record of delivering outstanding business impact over multiple quarters
• Proficiency in programming languages such as Python, Scala, Java, or Go
• Proficiency with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
• Proficiency in the development, training, productionization and monitoring of ML solutions at scale
• Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
• Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. multi-objective, LP, convex optimization)

Qualifications

• Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background
• 6+ years experience leading the development and deployment of ML models and optimization algorithms in large-scale production environments (1M+ predictions/sec or 100M+ users)

Nice to Have

• Experience developing multi-year technical strategies and cross-team platform architecture
• Proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output of others
• Track record of translating complex business problems into technical solutions and driving multi-functional projects across multiple teams
• Excellent communication skills
• Proficiency in reinforcement learning and causal machine learning

Skills

* Required skills

Benefits