ML Engineer II — Real-Time Marketplace Pricing

Uber; Seattle (WA); On-site; USD 171,000 - 190,000; Full time

Benefits offered by this job

401(k) plan

Bonus program

Equity award

Job summary

Uber's Dynamic Supply Pricing (DSP) team develops ML models and pricing algorithms that power real-time driver earnings for billions of rides. You will design, develop, and productionize end-to-end ML solutions in a large-scale distributed system, shaping technical direction with engineers, product managers, and scientists.

Expect to work on deep learning, causal modeling, and reinforcement learning, translating ambiguous business problems into rigorous technical solutions that benefit millions

Qualifications

• Ph.D., MS or BS in CS, ML, OR, or equivalent with demonstrated impact.
• 2+ years building and deploying ML models in production at scale.
• Proficiency in Python, Scala, Java or Go.
• Experience with large-scale data systems and real-time processing.

Responsibilities

• Design, develop, and productionize end-to-end ML solutions for large-scale distributed systems.
• Develop pricing approaches using ML, game theory, and optimization.
• Mentor junior engineers and collaborate with cross-functional teams.
• Deliver high-impact technical solutions to complex business problems.

Skills

Python

Scala/Java/Go

Spark

Ray

Flink

Microservices

ML models

DNNs/Transformers

Optimization

Education

Ph.D., MS or BS in CS/ML/OR

Tools

Spark

Ray

Flink

Job description

Uber's Dynamic Supply Pricing (DSP) team develops ML models and pricing algorithms that power real-time driver earnings for billions of rides. You will design, develop, and productionize end-to-end ML solutions in a large-scale distributed system, shaping technical direction with engineers, product managers, and scientists.

Expect to work on deep learning, causal modeling, and reinforcement learning, translating ambiguous business problems into rigorous technical solutions that benefit millions