Senior ML Engineer — Real-Time Marketplace Pricing

Uber; United States; On-site; USD 202,000 - 224,000; Full time

Benefits offered by this job

Bonuses

Equity

401(k) and benefits

Job summary

Uber’s Dynamic Supply Pricing (DSP) team builds real-time driver pricing models and large-scale systems to optimize earnings for millions of drivers worldwide. You will lead ML model design, training, and productionization, collaborating with engineers, PMs, and scientists to set technical direction and deliver high-impact solutions.

You will work on deep learning, causal modeling, and reinforcement learning, with exposure to MLops, real-time processing, and scalable data platforms.

Qualifications

• Ph.D., M.S. 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

Python

Scala

Java

Go

Machine learning

DL/ML algorithms

Optimization

Education

Ph.D./M.S./B.S. in CS/ML/OR

Equivalent technical background with demonstrated impact

Tools

Spark

Ray

Flink

Microservices

Job description

Uber’s Dynamic Supply Pricing (DSP) team builds real-time driver pricing models and large-scale systems to optimize earnings for millions of drivers worldwide. You will lead ML model design, training, and productionization, collaborating with engineers, PMs, and scientists to set technical direction and deliver high-impact solutions.

You will work on deep learning, causal modeling, and reinforcement learning, with exposure to MLops, real-time processing, and scalable data platforms.