Machine Learning Engineer • Staff

Who you are

You have a strong background in machine learning methodologies and problem-solving skills — you've applied ML, statistics, or optimization techniques to solve large-scale real-world problems, such as in ads tech or recommender systems. Your experience with ML frameworks like TensorFlow, PyTorch, or JAX, along with complex data pipelines, sets you apart. You are proficient in programming languages such as Python, Spark SQL, Presto, Go, and Java, enabling you to tackle diverse challenges effectively.

You thrive in collaborative environments, working closely with cross-functional teams including Pricing, Matching, and Driver Incentives — your ability to communicate complex concepts clearly ensures that marketplace signals are effectively utilized across various business functions. You are passionate about leveraging cutting-edge ML techniques, including deep learning and reinforcement learning, to continuously refine marketplace signals and improve operational efficiency.

What you'll do

In this role, you will develop and optimize machine learning models that enhance key marketplace signals, such as ETA predictions and supply availability metrics. You will collaborate with cross-functional teams to ensure that these signals are effectively utilized, driving data-driven decision-making across the organization. Your work will involve building a centralized, scalable system for marketplace signals that serves multiple use cases, ultimately improving Uber's marketplace efficiency.

You will leverage advanced ML techniques, including probabilistic modeling and reinforcement learning, to refine marketplace signals continuously. Your contributions will have a direct impact on user experiences and operational efficiency, making this a high-impact role within the organization. You will also be responsible for ensuring that the models you develop are robust and scalable, capable of handling the demands of a rapidly evolving marketplace.

What we offer

At Uber, you will have the opportunity to work on high-impact machine learning problems that directly improve marketplace efficiency. You will be part of a dynamic team that values collaboration and innovation, and you will have the chance to influence key business decisions through your work. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in shaping the future of transportation and marketplace efficiency at Uber.