Senior Real-Time ML Engineer - Pricing & Optimization

Uber; New York (NY); On-site; USD 171,000 - 190,000; Full time

Benefits offered by this job

Bonuses

Equity

401(k) plan

Benefits

Job summary

Uber's Marketplace Dynamic Supply Pricing team builds models and systems powering real-time driver pricing for billions of rides. Engineers develop ML models and pricing algorithms, and work on large-scale distributed systems to create earnings opportunities for millions of drivers worldwide.

As an ML Engineer on DSP, you will design, develop, and productionize end-to-end ML solutions including deep learning, causal modeling, and reinforcement learning, collaborating with engineers, PMs, and

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
• 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
• 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
• Familiarity with modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization)

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

ML models

Education

PhD, MS or Bachelor's in CS/ML/OR

Tools

Spark

Ray

Flink

Microservices

Job description

Uber's Marketplace Dynamic Supply Pricing team builds models and systems powering real-time driver pricing for billions of rides. Engineers develop ML models and pricing algorithms, and work on large-scale distributed systems to create earnings opportunities for millions of drivers worldwide.

As an ML Engineer on DSP, you will design, develop, and productionize end-to-end ML solutions including deep learning, causal modeling, and reinforcement learning, collaborating with engineers, PMs, and