Senior Machine Learning Engineer - Pricing

Uber’s Dynamic Supply Pricing (DSP) team is looking for a Senior Machine Learning Engineer - Pricing to design, build, and bring advanced ML models and pricing algorithms into production for real-time driver pricing at massive scale. The role focuses on end-to-end machine learning solutions for distributed systems, along with pricing methods that combine ML with algorithmic game theory and optimization.

Responsibilities

• Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems supporting billions of trips
• Develop new pricing approaches for online marketplaces by combining machine learning, algorithmic game theory, and optimization to improve earnings opportunities for millions of drivers
• Collaborate with team leads to define technical direction, own implementation, and provide technical mentorship to junior engineers
• Partner with engineers, product managers, and scientists to deliver high-impact technical solutions to complex business problems

Requirements

• 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 developing and deploying machine learning models and optimization algorithms in large-scale production environments, delivering measurable business impact across multiple quarters, with significant technical contributions
• Proficiency in programming languages such as Python, Scala, Java, or Go
• Experience working with large-scale data systems (e.g., Spark, Ray), real-time processing (e.g., Flink), and microservices architectures
• Experience developing, training, productionizing, and monitoring ML solutions at scale, 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)

Technologies

• Python, Scala, Java, Go
• Spark, Ray, Flink
• Microservices architectures
• MLOps
• DNNs, transformers

Preferred Qualifications

• Experience developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
• Experience leading complex technical projects and influencing scope and output of others
• Track record of converting ambiguous business problems into technical solutions and driving multi-functional initiatives
• Excellent communication skills for leading initiatives and collaborating with cross-functional partners
• Experience with reinforcement learning and causal machine learning

Compensation

Base salary range: USD 202,000 - 224,000 per year.

Benefits

• Eligible to participate in Uber’s bonus program
• May be offered an equity award and other types of compensation
• Eligible to participate in a 401(k) plan
• Eligible for various benefits

Location and Work Arrangement

Location: San Francisco, CA (onsite).

• Unless approved for full remote work, employees must spend at least 50% of their time in-office
• Some roles, like those at greenlight hubs, require full-time in-office presence