Senior ML Engineer: Rider Pricing & Optimization

Uber; New York (NY); In loco; USD 202.000 - 224.000; Tempo pieno

Vantaggi offerti da questo lavoro

Bonus program

Equity award

401(k) plan

Benefits

Descrizione del lavoro

Uber is seeking a senior ML Engineer for Rider Pricing to own pricing ML and optimization, driving improvements across pricing algorithms and promotion targeting. You will mentor teammates and collaborate with ML, serving, and product teams to align roadmaps and deliver measurable revenue growth.

The role requires advanced ML and optimization experience and a strong software foundation in scalable systems, with the opportunity to impact pricing at a global scale.

Competenze

• Master's degree in a relevant field with 5+ years of full-time engineering experience
• Proficiency in one or more programming languages (e.g., C, C++, Java, Python, Go)
• Experience with machine learning and optimization algorithms

Mansioni

• Take a lead on pricing ML and optimization problems, developing techniques powering billions of rides
• Improve performance of models and algorithms powering pricing and promotion targeting
• Own the problem end-to-end with cross-functional product/tech roadmap
• Mentor junior team members by modeling ML best practices
• Collaborate with cross-functional teams to drive ridership and revenue growth
• Help end-users by making mobility options accessible and affordable

Conoscenze

C/C++

Python

Java

Go

ML/Optimization

Formazione

Master's degree in CS/Engineering/Math

PhD preferred

Strumenti

Spark

Hive

Descrizione del lavoro

Uber is seeking a senior ML Engineer for Rider Pricing to own pricing ML and optimization, driving improvements across pricing algorithms and promotion targeting. You will mentor teammates and collaborate with ML, serving, and product teams to align roadmaps and deliver measurable revenue growth.

The role requires advanced ML and optimization experience and a strong software foundation in scalable systems, with the opportunity to impact pricing at a global scale.