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Senior Machine Learning Engineer – Marketplace Earner Incentives
| Company | Uber |
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| Location | Toronto, ON, Canada |
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| Salary | $164000 – $182000 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Senior |
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Requirements
- Masters Degree or equivalent experience in field of Computer Science or Machine Learning.
- 3 years minimum of industry experience as a Machine Learning Engineer
- Comfortable programming in at least one major language such as Python (preferred), Scala, Go,…
- Experience collaborating cross-functionally with product and other engineering roles.
- Experience with any of the following: Spark, Hive, Kafka, Cassandra.
- Experience building and productizing innovative end-to-end Machine Learning systems.
- Driven and curious.
Responsibilities
- Solve ambituous, challenging business problems using data-driven approaches.
- Build and optimize models and algorithms powering Earner incentive levers across the Uber marketplace.
- Improve the overall model lifecycle for the team by building solutions around model observability, performance tuning and tracking.
- Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap.
- Mentor more junior team members by role modeling ML best practices. Collaborate with cross-functional teams to ensure alignment and drive Uber’s ridership and revenue growth. Help Uber’s end-users by making mobility options accessible and affordable.
Preferred Qualifications
- Exceptional technical communication skills.
- Experience writing custom models in Pytorch or Tensorflow/Keras.
- Experience in the design and development of ML pipelines and workflows.
- Experience building backend services using any mainstream languages like C/C++/Java/Go
