Senior ML Engineer - Real-Time Marketplace Pricing

Uber; Seattle (WA); Remote; USD 202,000 - 224,000; Full time

Benefits offered by this job

Bonus program

Equity award

401(k) plan

Benefits

Job summary

Uber’s Marketplace DSP team builds models, signals, and distributed systems powering real-time driver pricing for billions of rides. You’ll work on end-to-end ML solutions at scale and help define the technical direction across engineers, product managers, and scientists.

The role emphasizes mentorship, cross-functional collaboration, and delivering high-impact solutions to complex business problems with real-world impact.

Qualifications

• Ph.D., MS or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact
• 4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments, delivering measurable business impact over multiple quarters and making significant technical contributions
• Proficiency in programming languages such as Python, Scala, Java, or Go
• Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures
• Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps
• Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization)

Responsibilities

• Lead the design, development, and productionization of 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
• Collaborate with the team leads to set the team's technical direction and own its implementation, providing technical mentorship to junior engineers
• Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems

Skills

ML modeling & optimization

Python/Scala/Java/Go

Distributed systems experience

Communication & mentorship

Education

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

Tools

Spark

Ray

Flink

Microservices

Job description

Uber’s Marketplace DSP team builds models, signals, and distributed systems powering real-time driver pricing for billions of rides. You’ll work on end-to-end ML solutions at scale and help define the technical direction across engineers, product managers, and scientists.

The role emphasizes mentorship, cross-functional collaboration, and delivering high-impact solutions to complex business problems with real-world impact.