Uber
Engineering Manager II, Marketplace Pricing
Uber, Sunnyvale, California, United States, 94087
Engineering Manager II, Marketplace Pricing
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. What You Will Do
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, roadmap ownership, and cross‑team leadership over a multi‑year horizon 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 Basic Qualifications
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) and 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‑side 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 Preferred Qualifications
2+ years of leadership experience managing engineering teams as TLM or EM and 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 owning technical roadmap and leading complex technical projects while substantially influencing 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 designing a team with the right composition of skills and seniority to deliver against business goals Compensation and Benefits
For all US locations, the base salary range for this role is USD$223,000 per year – USD$248,000 per year. You will also be eligible to participate in Uber’s bonus program, and may be offered an equity award and other types of compensation. You will also be eligible for various benefits. More details can be found at the following link: https://www.uber.com/careers/benefits.
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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. What You Will Do
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, roadmap ownership, and cross‑team leadership over a multi‑year horizon 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 Basic Qualifications
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) and 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‑side 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 Preferred Qualifications
2+ years of leadership experience managing engineering teams as TLM or EM and 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 owning technical roadmap and leading complex technical projects while substantially influencing 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 designing a team with the right composition of skills and seniority to deliver against business goals Compensation and Benefits
For all US locations, the base salary range for this role is USD$223,000 per year – USD$248,000 per year. You will also be eligible to participate in Uber’s bonus program, and may be offered an equity award and other types of compensation. You will also be eligible for various benefits. More details can be found at the following link: https://www.uber.com/careers/benefits.
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