Graduate 2026 PhD Software Engineer II (Consumer Structural Pricing), United States
Uber San Francisco, CA Full-time 3/31/2026 $171,000 - $190,000 a year
PhD Entry-Level
Approval 99.3%•Total filings 920•New hires 237•
💎 Strong Sponsor
•FY 2025Job Description
Uber is seeking machine learning engineers who have recently completed or are completing a PhD program. The role involves building high-impact consumer-facing products, working on machine learning models, data pipelines, and real-time services within Uber's Delivery products.
Requirements
- Completing or recently completed a PhD in Statistics, Mathematics, Computer Science, Machine Learning, or related quantitative field
- Experience in designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods
- Strong sense of ownership and accountability
- Strong problem-solving skills, with expertise in ML methodologies
- Ability to thrive in a fast-paced, collaborative, and team-oriented environment
Responsibilities
- Design and build innovative products used by hundreds of millions of consumers, in collaboration with talented engineers, Product Managers, Product Operations, and Applied/Data Scientists
- Develop and optimize ML models to enhance the efficiency of key delivery marketplace pricing levers
- Build offline data pipelines using Hive or similar technologies
- Write clean, maintainable, and high-quality code
Benefits
- Employees at Uber are often offered comprehensive health, life, disability, and mental wellness benefits, along with wellbeing stipends, travel medical coverage, and monthly Uber credits for Rides and Eats. Employees also get generous paid parental leave, flexible time off, and family-planning support so they can care for themselves and their families at every stage.
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