Machine Learning Engineer • Staff

Who you are

You hold a PhD in a relevant field such as Computer Science, Statistics, Economics, or Econometrics, with a strong focus on Machine Learning. You have 4+ years of experience in building and training machine learning models, particularly with sparse data, and are adept at designing experiments and developing causal models. Your background includes collaboration with cross-functional teams, including engineers, operations researchers, and economists, to drive impactful solutions in real-time pricing optimization.

You are a thought leader in your field, capable of defining roadmaps and guiding multiple teams towards achieving their goals. Your expertise in machine learning allows you to contribute significantly to the development of scalable systems that enhance marketplace reliability and optimize pricing strategies for Uber's rides products globally.

What you'll do

In this role, you will collaborate with a diverse team to build large-scale pricing optimization systems that set prices based on real-time marketplace conditions. You will be responsible for building and training machine learning models that leverage sparse data to inform pricing decisions. Your work will involve designing experiments and employing various techniques to create robust causal models that enhance the understanding of market dynamics.

As a Staff Machine Learning Engineer, you will play a critical role in maintaining the overall reliability of Uber's marketplace by balancing supply and demand through dynamic pricing. You will contribute to the generation of significant revenue for the company by optimizing network efficiency and enhancing driver earnings. Your insights and contributions will be vital in shaping the features used across various optimization and machine learning systems at Uber.

What we offer

Uber provides a collaborative environment where you can thrive and make a meaningful impact on the transportation industry. You will have the opportunity to work on innovative projects that directly influence customer experience and marketplace efficiency. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to make transport accessible for everyone.