Uber - New York, NY
posted 4 months ago
Delivery Marketplace is a central pillar to Uber's delivery products. As the central brain of the company, we are the decision makers that make moving from point A to point B possible for every order that Uber serves, from UberEats to new verticals such as Grocery. We handle all the logic from making the dispatch decisions, predicting how long a delivery might take, and estimating optimal pickup times for orders. We build products that directly impact Uber's top and bottom lines. Machine Learning Engineers (MLEs) lead efforts within the team and broader Delivery Marketplace organization to drive ideation, development, and productionization of optimization solutions with real-time and ML-based signals that solve strategically important problems. Some existing problem spaces that the team works on include using statistical/machine learning/forecasting models for demand and supply models, state-of-the-art prediction models for estimating food preparation times, batching quality, as well as time spent by couriers at restaurants picking up items. MLEs develop objective functions that balance magical user experience and the economics of the business. This is a challenging yet rewarding job. You will have numerous opportunities to collaborate with product managers, data scientists, and engineers from other teams. You will be in charge of solving Uber scale problems using the right techniques such as reinforcement learning, deep learning, and optimization methods. The role involves driving the design, development, optimization, and productization of machine learning (ML) solutions and systems that are used to solve strategically important or vaguely defined problems, while building ML solutions to improve Delivery marketplace efficiency and deliver a magical user experience.