Uber's Marketplace is looking to solve complex business problems in real-time driver pricing for billions of rides by developing advanced ML models, algorithms, signals, and large-scale distributed systems.
Requirements
- 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
- 6+ years 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
Responsibilities
- Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence
- 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
- Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems
- Lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning
- Work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second
- Present $1B+ opportunities to executive stakeholders
Other
- Track record of extraordinary impact
- Passion for building large-scale systems that optimize multi-sided real-time marketplaces
- Set the team's technical direction
- Provide earnings opportunities for millions of drivers worldwide
- Executive communication and alignment
