addressing undersupply issues in the Uber marketplace by effectively incentivizing drivers
Requirements
- Comfortable programming in at least one major language such as Python (preferred), Scala, Go,...
- Experience writing custom models in Pytorch or Tensorflow/Keras.
- Experience with working with large scale data processing systems like (Py)Spark and Presto/Trino.
- Experience training models at scale and building reliable data and modeling pipelines.
- 5+ years of experience building production machine learning systems at scale and a Bachelor's or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, Economics, or a related field.
- 3+ years of experience building production machine learning systems at scale and a Masters or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, Economics, or a related field.
- 2+ years of experience building production machine learning systems at scale and a PhD or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, or a related field.
Responsibilities
- Solve ambiguous, challenging business problems using data-driven approaches.
- Build and optimize models and algorithms powering earner incentives across the Uber marketplace.
- Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap.
- Role model ML best practices by building systems that are easy to monitor, debug, maintain, and iterate on.
- Uplevel the more junior members of the team through mentorship, code and design reviews.
Other
- Driven and curious.
- Can work independently.
- Either: 5+ years of experience building production machine learning systems at scale and a Bachelor's or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, Economics, or a related field.
- Either: 3+ years of experience building production machine learning systems at scale and a Masters or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, Economics, or a related field.
- Either: 2+ years of experience building production machine learning systems at scale and a PhD or equivalent in Machine Learning, Computer Science, Mathematics, Statistics, or a related field.
