Uber Senior Machine Learning Engineer - Marketplace Pricing 

United States, West Virginia 

830857041

About the Role

- - - - What You Will Do ----

• 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 to provide earnings opportunities for millions of drivers
• Partner with the marketplace leadership team to set the team’s technical direction and own its implementation, providing technical mentorship to junior engineers
• Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems

- - - - Basic Qualifications ----

• Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research
• 4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments
• Proficiency in programming languages such as Python, Scala, Java, or Go
• Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
• Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
• Deep understanding of machine learning algorithms and mathematical optimization (e.g. LP, convex optimization)

- - - - Preferred Qualifications ----

• Experience leading complex technical projects and influencing the scope and output of others
• Track record of translating ambiguous business problems into technical solutions and driving multi-functional projects
• Excellent communication skills to lead initiatives and collaborate effectively with cross-functional partners
• Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
• Experience in reinforcement learning and causal machine learning

For New York, NY-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.