Machine Learning Engineer • Staff

Who you are

You hold a PhD in relevant fields such as Computer Science, Electrical Engineering, Mathematics, or Statistics, with a strong focus on Machine Learning. You have over 4 years of experience in an ML role, emphasizing data-driven and experiment-driven model development. Your expertise in deep learning and machine learning frameworks allows you to build and train models effectively. You are skilled in data analysis and understand the intricacies of network optimization, which is crucial for pricing decisions in real-time marketplaces. You thrive in collaborative environments, working alongside engineers, operations researchers, and economists to drive impactful solutions. You are passionate about using technology to enhance user experiences and optimize operational efficiency.

What you'll do

In this role, you will be part of the Surge team, responsible for maintaining marketplace reliability by balancing supply and demand through dynamic pricing. You will build scalable real-time systems that analyze market conditions and forecast future demand. Your work will involve developing machine learning models that predict pricing strategies based on real-time data. You will initiate new projects where machine learning can significantly impact pricing optimization, contributing to Uber's mission of making transport accessible. You will collaborate closely with cross-functional teams to ensure that the pricing systems you develop are robust and efficient, ultimately enhancing the customer experience for Uber riders. Your contributions will directly influence the billions of dollars in annual gross bookings generated by Uber, making your role critical to the company's success.

What we offer

Uber provides a dynamic work environment where innovation is encouraged. You will have the opportunity to work on cutting-edge technology that impacts millions of users globally. The company values collaboration and offers a culture that supports professional growth and development. You will be part of a team that is dedicated to optimizing network efficiency and enhancing driver earnings through advanced pricing strategies. Uber also emphasizes work-life balance, expecting employees to spend at least half of their time in the office, fostering a strong team dynamic and collaboration.