Staff Machine Learning Engineer
Job Description
Own end-to-end machine learning efforts to modernize the Uber Freight marketplace team in Sunnyvale, CA (onsite).
Responsibilities
- Provide end-to-end ownership of ML models for the UF marketplace, including cost prediction, booking probability, and demand elasticity
- Collaborate with backend engineers to productionize models and integrate them into the marketplace systems
- Help ensure deployed models work as expected and meet required model performance objectives
Requirements
- 6+ years of experience developing ML models to solve business problems
- Bachelor's degree in Computer Science, Computer Engineering, or a related field
- Familiarity with modern AI/ML frameworks, such as PyTorch
Preferred Qualifications
- Product experience
- Ability to adapt ML models to the business context
- Experience with state-of-the-art marketplace technology
- Experience with causal inference and constrained optimization
Technology
- PyTorch
Compensation
- Base salary: USD 232,000 - 258,000 per year (Sunnyvale, CA)
Benefits
- Eligible to participate in Uber’s bonus program (for all US locations)
- May be offered an equity award and other types of compensation (for all US locations)
- All full-time employees are eligible to participate in a 401(k) plan
- Eligible for various benefits