Uber
Overview
Machine Learning Engineer II, Pricing at Uber. You will lead the design, development, and productionization of advanced ML models and pricing algorithms to optimize real-time, multi-sided marketplaces and driver earnings. What You Will Do
Design, develop, and productionize 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 to provide earnings opportunities for millions of drivers Partner with senior engineers to plan the scope and execution of projects and mentor junior team members on design and implementation Collaborate with engineers, product managers, and scientists to deliver high-impact technical solutions to complex business problems Basic Qualifications
Ph.D., MS, or BS in Computer Science, Machine Learning, Operations Research, or equivalent with demonstrated impact 2+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments Proficiency in Python, Scala, Java, or Go Experience with large-scale data systems (e.g., Spark, Ray), real-time processing (e.g., Flink), and microservices Experience in development, training, productionization and monitoring of ML solutions at scale, from offline pipelines to online serving and MLOps Familiarity with modern ML algorithms (DNNs, multi-task models, transformers) and mathematical optimization (LP, convex optimization) Preferred Qualifications
Ability to translate ambiguous business problems into technical solutions Strong communication skills, including documentation and design discussions Experience in pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior Experience in reinforcement learning and causal machine learning Compensation and Location
For New York, NY; San Francisco, CA; Seattle, WA; Sunnyvale, CA: base salary range USD 167,000 - 185,500 per year. All US locations include eligibility for Uber bonus programs and potential equity awards. Benefits details available at https://www.uber.com/careers/benefits. Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Internet Marketplace Platforms
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Machine Learning Engineer II, Pricing at Uber. You will lead the design, development, and productionization of advanced ML models and pricing algorithms to optimize real-time, multi-sided marketplaces and driver earnings. What You Will Do
Design, develop, and productionize 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 to provide earnings opportunities for millions of drivers Partner with senior engineers to plan the scope and execution of projects and mentor junior team members on design and implementation Collaborate with engineers, product managers, and scientists to deliver high-impact technical solutions to complex business problems Basic Qualifications
Ph.D., MS, or BS in Computer Science, Machine Learning, Operations Research, or equivalent with demonstrated impact 2+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments Proficiency in Python, Scala, Java, or Go Experience with large-scale data systems (e.g., Spark, Ray), real-time processing (e.g., Flink), and microservices Experience in development, training, productionization and monitoring of ML solutions at scale, from offline pipelines to online serving and MLOps Familiarity with modern ML algorithms (DNNs, multi-task models, transformers) and mathematical optimization (LP, convex optimization) Preferred Qualifications
Ability to translate ambiguous business problems into technical solutions Strong communication skills, including documentation and design discussions Experience in pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior Experience in reinforcement learning and causal machine learning Compensation and Location
For New York, NY; San Francisco, CA; Seattle, WA; Sunnyvale, CA: base salary range USD 167,000 - 185,500 per year. All US locations include eligibility for Uber bonus programs and potential equity awards. Benefits details available at https://www.uber.com/careers/benefits. Seniority level: Not Applicable Employment type: Full-time Job function: Engineering and Information Technology Industries: Internet Marketplace Platforms
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