Engineering Manager II, Marketplace Pricing

About the Role

Uber’s Marketplace is at the heart of Uber’s business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. The leaders of the team guide the work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior leaders within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced organizational leaders.

We are looking for an exceptional Tech Lead Manager (TLM) or Engineering Manager (EM) with a track record of extraordinary impact and with a passion for building high-velocity engineering teams and large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead a team of top-tier engineers to design, develop, and product ionize advanced ML models and pricing algorithms, involving deep learning, causal modeling, and reinforcement learning.

You will work with peer EMs, cross-functional partners, and managers outside the org to translate company priorities into multi-year technical strategies and cross-team platform architecture. You will solve some of Uber’s most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide.

• Lead a team of exceptional engineers and cross-functional partners to design and deliver high-impact technical solutions to complex business problems
• Drive organizational and technical strategy as well as roadmap ownership over a multi-year horizon and lead the implementation, including executive communication and alignment, platform-level architecture decisions, and cross-team leadership
• Lead and delegate the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
• Guide tech leads on developing novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
• Hire, develop, and retain top-tier MLEs while fostering a culture centered on teamwork, technical excellence, smart risk taking, and inclusivity

• Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
• 8+ years of experience leading the development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters
• Experience driving timely execution through effective delegation, empowering tech leads, and leading cross-team alignment by setting clear priorities, incorporating input from diverse stakeholders, and resolving trade-offs between short term and long term priorities
• Proficiency upholding high standards of quality, reliability, and operational excellence through efficient review processes and data-driven process improvements
• 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, ranging from offline pipelines to online serving and MLOps
• 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). Proficiency in reinforcement learning and causal machine learning

• 2+ years of leadership experience managing engineering teams as TLM or EM. Track record of delivering outstanding…