Software Engineer II - ML

As an ML Engineer, you should be able to apply Machine Learning to Solve complex business problems and optimize customer experience, and work closely with stakeholdaers to formulate machine learning problems within the business context.

Build end-end ML systems for designing, training, testing, optimization, deploying, and serving machine learning models. Write ML system design docs and production-level codes to train your ML models into working pipelines and serve models for large-scale online traffic.

The Data Intelligence Platform team is responsible for designing core foundational data sets critical to understanding customers needs and helping business teams make the right decisions in solving these crucial problems. The team s mission is to ensure high quality for all the critical data flows for analytics purposes across all verticals in Uber and enable faster implementation of data needs by building standardized tools and frameworks for accurate analysis. We are now expanding our charter to solve some of the critical business problems using ML Engineering for the Mobility Business.

Join us to be part of a thriving culture while solving exciting problems at scale.

What the Candidate Will Need / Bonus Points

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Build ML solutions to solve business needs across the Rider organization with over 300+ engineers. Some of the types of projects you will work on for e.g:

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