Senior Machine Learning Engineer, Ranking and Recommendations

Uber's Shopping Ranking Team is seeking a Senior Machine Learning Engineer to drive innovation in their shopping intelligence ranking and recommendation systems. This role focuses on enabling customers to make effortless shopping decisions through ML-driven algorithmic approaches. The position offers an opportunity to work with massive datasets and apply state-of-the-art Machine Learning and Optimization techniques.

The role combines hands-on technical work with strategic thinking, requiring expertise in building and deploying ML models at scale. You'll be working on the Shopping Ranking Team, whose mission is to enhance the shopping experience for Uber's users through sophisticated recommendation systems. The position offers exposure to various aspects of ML development, from infrastructure to model development and productionization.

As a Senior ML Engineer, you'll collaborate with cross-functional teams, contribute to code reviews, and have the opportunity to shape the future of Uber's shopping experience. The role requires a strong background in Computer Science or related fields, with significant experience in ML model development and production environments. The hybrid work environment allows for both collaborative office time and flexible working arrangements.

The compensation package is competitive, ranging from $185,000 to $205,500 per year, plus equity and benefits. This is an excellent opportunity for someone passionate about ML who wants to make a significant impact on a platform used by millions of people daily. The role offers the perfect blend of technical challenges, business impact, and career growth opportunities in one of the world's leading technology companies.