Senior Machine Learning Engineer - Marketplace Pricing
Actively Hiring
Full-time $202k Posted 5 months ago
Responsibilities
- check_circle Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips
- check_circle Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers
- check_circle Collaborate with the team leads to set the team's technical direction and own its implementation, providing technical mentorship to junior engineers
- check_circle 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, or equivalent technical background with exceptional demonstrated impact
- 4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments, delivering measurable business impact over multiple quarters and making significant technical contributions
- 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 modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization)
Preferred qualifications
- Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
- 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 reinforcement learning and causal machine learning
Tags & Focus Areas
Fulltime Machine Learning Deep Learning Ai
About Uber
About the role: Collaborates with stakeholders within the team to build and maintain backend services and solutions to support user-facing products, downstream services, or infrastructure tools and platforms used across Uber. About the Team: Founded in August 2014, Uber Eats has become the largest food delivery app globally, and is the fastest growing food delivery platform in the world. We have doubled our gross bookings in just over the last year! Our team's work at Uber Eats directly impac...