Machine Learning Engineer - Rider Pricing

About The Role
Uber Marketplace ( https://marketplace.uber.com/) is at the core of Uber's business, and Rider Pricing & Incentives is a strategically critical component of Marketplace. The mission of the team is to foster growth and improve efficiency of the marketplace through pricing and promotion optimizations.
We work on some of the most challenging marketplace problems that impact Uber's top-line and bottom-line directly and significantly. We build online and offline systems, leveraging tools from machine learning, optimization, and causal inference. We work in a fast-paced and collaborative environment.
What You Will Do
You will work on both ML and optimization projects to push the frontier of rider pricing/promotion efficiency and optimize the interactions with other marketplace components.

• You will end-to-end design and implement ML models and optimization algorithms
• You will drive end-to-end project executions from scoping, offline evaluation, conducting experiments, influencing launch decisions, productionization, and post-launch monitoring
• You will collaborate with cross-functional partners including product managers and scientists
  

Basic Qualifications:

• 2+ years of experience in an ML/optimization role, or PhD in relevant fields (CS, OR, EE, Stats, etc.)
• Expertise in machine learning and optimization algorithms
• Experience with ML frameworks
• Experience with productionizing ML systems
• Proficiency in at least one coding languages such as Python, Go, Java and etc
• Strong communication skills and can work effectively work cross-functional partners
• Strong sense of ownership to drive projects end-to-end
  

Preferred Qualifications:

• Experience in formulating and solving optimization problems
• Experience in evaluating ML models and overall system in a production environment
• Experience in designing data collection policy for ML models and policy evaluation
• Experience in causal inference and experimental design
• Experience in landing production changes into complex codebases and systems
• Basic understanding of Economics concepts
  

For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits., For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.