Engineering Manager II, Marketplace Pricing

Uber • Seattle, WA

75d • $223,000 - $248,000

About The Position

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 productionize 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.

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
• 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

Nice To Haves

• 2+ years of leadership experience managing engineering teams as TLM or EM. Track record of delivering outstanding business impact for several multi-functional programs, products or platforms over multiple halves
• Proficiency translating complex business problems into multi-year technical strategies and cross-team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output across multiple teams
• Excellent communication and collaboration skills to lead initiatives across multiple teams and build strong relationships with peer managers, cross-functional partners, and managers outside the org
• Experience in hiring, developing, and retaining top-tier talent, and experience in designing a team with the right composition of skills and seniority to deliver against business goals

Responsibilities

• 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

Benefits

• Eligible to participate in Uber's bonus program
• May be offered an equity award & other types of compensation
• Eligible for various benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Transit and Ground Passenger Transportation
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees