Staff Machine Learning Engineer - Pricing

Uber’s Dynamic Supply Pricing team is building machine learning and pricing systems that help set real-time driver prices across a large marketplace. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms that support driver earnings at massive scale.

As a Staff Machine Learning Engineer focused on Pricing, you will set technical direction over a 1+ year horizon and partner closely with engineers, product managers, and scientists to deliver end-to-end ML solutions for distributed systems serving billions of trips.

What you’ll do

• Own technical strategy and a 1+ year roadmap, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence
• Lead the end-to-end design, development, and productionization of ML solutions for large-scale distributed systems serving billions of trips
• Develop novel pricing approaches that combine machine learning, algorithmic game theory, and optimization to create earnings opportunities for millions of drivers
• Collaborate with engineers, product managers, and scientists to design and deliver high-impact solutions to complex business problems

Requirements

• Education: Ph.D., M.S., or Bachelor’s degree in Computer Science, Machine Learning, or Operations Research, or an equivalent technical background with exceptional demonstrated impact
• Experience: 6+ years leading development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (for example, 1M+ predictions/sec or 100M+ users), with a track record of outstanding business impact over multiple quarters
• Proficiency in Python, Scala, Java, or Go
• Proficiency with large-scale data systems such as Spark and Ray, real-time processing such as Flink, and microservices architectures
• Experience building, training, productionizing, and monitoring ML solutions at scale, from offline pipelines to online serving and MLOps
• Experience developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior
• Deep understanding of modern ML algorithms (DNNs, multi-task models, transformers) and mathematical optimization (multi-objective, LP, convex optimization)

Technologies

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

Benefits

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

Additional details

• Location: Sunnyvale, CA (onsite)
• Salary range: USD 232,000 - 258,000 per year
• Unless approved for full remote work, employees must spend at least 50% of their time in-office
• Ask your Recruiter for details about this role’s in-office requirements

Preferred qualifications

• Experience developing multi-year technical strategies and cross-team platform architecture, with the ability to own technical roadmaps and lead complex projects while substantially influencing the scope and output of others
• Track record translating complex business problems into technical solutions and driving multi-functional projects across multiple teams
• Excellent communication skills for leading initiatives across multiple product areas and collaborating with cross-functional teams
• Proficiency in reinforcement learning and causal machine learning