Staff Machine Learning Engineer — Rider Pricing Leader

Uber; San Francisco (CA); In loco; USD 232.000 - 258.000; Tempo pieno

Vantaggi offerti da questo lavoro

Bonus program

Equity award

401(k) plan

Various benefits

Descrizione del lavoro

Uber is seeking a Staff Machine Learning Engineer for the Rider Pricing team in San Francisco. You will lead a group of Software and Machine Learning Engineers, shaping pricing and optimization models to improve rider pricing in real-time and offline contexts.

You will collaborate across machine learning, serving, and optimization systems to drive Uber’s pricing decisions at massive scale, contributing to increased ridership and revenue while ensuring mobility remains accessible and affordable.

Competenze

• Master's degree in CS/engineering/math or related field.
• PhD preferred for advanced modeling.
• Experience with ML and optimization algorithms.

Mansioni

• Lead SWE/MLE team to advance rider pricing models.
• Improve pricing models and promotion algorithms.
• Own end-to-end problems with cross-functional roadmap.
• Mentor junior engineers in ML best practices.
• Collaborate with teams to drive ridership and revenue.
• Support users by enabling affordable mobility.

Conoscenze

C

C++

Java

Python

Go

Machine learning

Optimization algorithms

Formazione

Master's degree in Computer Science/Engineering/Mathematics/related field

PhD in related field

Strumenti

Spark

Hive

Descrizione del lavoro

Uber is seeking a Staff Machine Learning Engineer for the Rider Pricing team in San Francisco. You will lead a group of Software and Machine Learning Engineers, shaping pricing and optimization models to improve rider pricing in real-time and offline contexts.

You will collaborate across machine learning, serving, and optimization systems to drive Uber’s pricing decisions at massive scale, contributing to increased ridership and revenue while ensuring mobility remains accessible and affordable.