Senior ML Engineer, Shopping Ranking and Recommendations

The Shopping Ranking Team at Uber is seeking a Senior ML Engineer to drive the development of their next-generation shopping ranking and recommendation systems. This role focuses on enabling eaters to effortlessly make shopping decisions through ML-driven algorithmic approaches. The team applies state-of-the-art Machine Learning and Optimization techniques to massive datasets, building scalable and reliable shopping intelligence systems.

The position offers a unique opportunity to work on complex ML challenges while making a direct impact on Uber's shopping experience. You'll be working across various aspects from infrastructure to ML model development and productionization. The role requires strong problem-solving skills, coding proficiency, and expertise in machine learning, particularly in ranking and recommendation systems.

As a Senior ML Engineer, you'll collaborate with cross-functional teams, translate business problems into ML solutions, and own end-to-end delivery of technical projects. The role offers competitive compensation, comprehensive benefits, and the opportunity to work in a hybrid environment at one of tech's most innovative companies.

The ideal candidate will have significant experience in ML model development, big data technologies, and a track record of delivering impactful projects. You'll be joining a team that values fast learning, innovation, and technical excellence, while working on problems that affect millions of users globally.