Role overview
The team is Uber's Machine Learning Platform (Michelangelo).
We are building a truly extensible machine learning ecosystem. This system provides a comprehensive tool chains to empower ML engineers to build high quality machine learning solutions in all perspectives in Uber's business.
Our team is composed of collaborative people with deep knowledge in various domains, such as, but not limited to, distributed systems, analytical systems, large-scale backend services, large-scale computing infra, feature stores, data vis and cloud-based AI solutions, modeling techniques or critical, very large scale online system operations.
[Meet Michelangelo: Uber's Machine Learning Platform (http://eng.uber.com/michelangelo/)
What we're looking for
- Realtime and streaming data pipelines.
- Large nonSQL databases, vector DBs, cache systems.
- Deep experience in scaling modeling, feature engineering, Ray or Spark.
- PyTorch or JAX experience
For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.