Uber's Dynamic Supply Pricing (DSP) team is looking to solve complex business problems in real-time driver pricing for billions of rides, providing earnings opportunities for millions of drivers worldwide.
Requirements
- 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
- Familiarity with modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization)
- Experience in translating ambiguous business problems into technical solutions in a structured and principled way
- 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
Responsibilities
- 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
- Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems
Other
- Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
- 2+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments
- Strong communication skills, including through documentation and design discussions
- Eligibility to participate in Uber's bonus program, and may be offered an equity award & other types of comp
- Eligibility for various benefits
