Sr Machine Learning Engineer
| Company | Uber |
|---|---|
| Location | Seattle, WA, USA, San Francisco, CA, USA, Sunnyvale, CA, USA |
| Salary | $185000 – $205500 |
| Type | Full-Time |
| Degrees | Bachelor’s, PhD |
| Experience Level | Senior |
Requirements
- Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience or PhD with 2+ years of full-time engineering experience
- Experience working with multiple multi-functional teams(product, science, product ops etc)
- Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)
Responsibilities
- Design and build Machine Learning models with optimization engines
- Productionize and deploy these models for real-world application
- Review code and designs of teammates, providing constructive feedback
- Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product
Preferred Qualifications
- 3+ years of ML/economics experience and building ML/economic models
- Experience with the design and architecture of ML systems and workflows
- Experience with building algorithmic solutions in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments
- Experience with taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure and optimization constraints, and delivering business impact
- Experience with optimizing Spark queries for better CPU and memory efficiency
- Working knowledge of latest ML technologies, and libraries, such as PyTorch, TensorFlow, JAX, Ray, etc
- Experience owning and delivering a technically challenging, multi-quarter project end to end
- Experience with big-data architecture, ETL frameworks and platforms, such as HDFS, Hive, MapReduce, Spark, , etc