Lead ML Engineer - Real-Time Pricing & Marketplaces

Uber Technologies Inc.; Sunnyvale (CA); On-site; USD 171,000 - 190,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber Technologies Inc. is seeking exceptional ML Engineers to design, develop, and productionize advanced ML models and pricing algorithms for real-time driver pricing across a global marketplace.

You will collaborate with engineers, product managers, and scientists to set technical direction and tackle complex business problems, enabling earnings opportunities for millions of drivers worldwide.

Qualifications

• Ph.D., MS or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact.
• 2+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments.
• Proficiency in programming languages such as Python, Scala, Java, or Go.

Responsibilities

• Design, develop, and productionize end-to-end ML solutions for large-scale distributed systems serving billions of trips.
• Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers.
• Partner with senior engineers to plan the scope and execution of projects and mentor junior team members on design and implementation.
• Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems.

Skills

Python

Scala

Java

Go

Spark

Ray

Flink

ML Ops

Transformers

Optimization

Education

Ph.D./MS/Bachelor's in CS/ML/OR

Tools

Spark

Ray

Flink

Job description

Uber Technologies Inc. is seeking exceptional ML Engineers to design, develop, and productionize advanced ML models and pricing algorithms for real-time driver pricing across a global marketplace.

You will collaborate with engineers, product managers, and scientists to set technical direction and tackle complex business problems, enabling earnings opportunities for millions of drivers worldwide.