PhD ML Engineer — Real-Time Mobility Matching

Wayne State University; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Uber's Mobility Matching team seeks a Graduate PhD Software Engineer II to translate state‑of‑the‑art ML research into production‑grade systems for real‑time driver–rider matching at scale. You will design, build, and deploy ML and optimization solutions, apply RL, large‑scale optimization, and online experimentation to improve marketplace efficiency.

Collaborate with Product, Data Science, Economics, Platform Engineering, and Operations to own end‑to‑end delivery, from modeling to live

Qualifications

• PhD in CS, AI, ML, OR, applied math, econ or related field.
• Strong background in reinforcement learning and large-scale optimization.
• Experience with experimentation platforms, causal inference, or simulation frameworks.
• Excellent coding ability with modern ML libraries and production-quality software.
• Publications in top ML/AI/systems conferences.

Responsibilities

• Design, build, and deploy production‑grade ML/optimization systems for real‑time driver–rider matching.
• Develop and apply RL, large‑scale optimization, causal inference, and online experimentation to improve marketplace efficiency.
• Translate research into scalable, high‑impact marketplace solutions.
• Architect and enhance ML and serving infrastructure for high‑throughput training, low‑latency inference, and real‑time decisions.
• Own end‑to‑end work from modeling and simulation to A/B testing, productionization, monitoring, and iteration.
• Collaborate across Product, Data Science, Economics, Platform Engineering, and Operations to shape technical strategy.
• Champion engineering excellence with code quality, reproducibility, and reliability.

Skills

Reinforcement learning

Large-scale optimization

Online experimentation

Causal inference

Production-grade software development

Machine learning libraries

Education

PhD in CS/AI/ML/OR or quantitative field

Tools

Experimentation platforms

Simulation frameworks

Job description

Uber's Mobility Matching team seeks a Graduate PhD Software Engineer II to translate state‑of‑the‑art ML research into production‑grade systems for real‑time driver–rider matching at scale. You will design, build, and deploy ML and optimization solutions, apply RL, large‑scale optimization, and online experimentation to improve marketplace efficiency.

Collaborate with Product, Data Science, Economics, Platform Engineering, and Operations to own end‑to‑end delivery, from modeling to live