Staff Machine Learning Engineer – Marketplace Investments
| Company | Uber |
|---|---|
| Location | Seattle, WA, USA, San Francisco, CA, USA, New York, NY, USA, Sunnyvale, CA, USA |
| Salary | $223000 – $248000 |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- PhD or equivalent experience in Computer Science, Engineering, Mathematics or related field
- 5+ years of industry experience as an Applied Scientist/Machine Learning Engineer
- Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design
- Experience working with cross-functional teams(product, science, product ops etc)
- Proficiency in one or more object-oriented programming languages (e.g. Python, Go, Java, C++)
Responsibilities
- Lead the design, development, optimization, and productionization of machine learning (ML) solutions for complex and high-impact problems
- Build ML solutions to improve Uber’s marketplace efficiency while ensuring seamless, high-quality user experiences in real-world applications
- Review code and designs of teammates, providing constructive feedback
- Lead cross-functional collaborations across product, engineering, and science teams to drive system development from ideation to production
Preferred Qualifications
- Experience building algorithms with large scale data
- 7+ years of industry experience in machine learning, including building and deploying ML models
- Experience working on large scale Machine Learning platforms
- Experience in modern deep learning architectures and probabilistic modeling
- Expertise in the design and architecture of ML systems and workflows
- Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, multi-armed bandits or other large scale global optimization techniques