Uber's Surge team is seeking a Machine Learning Tech Lead Manager to lead their dynamic pricing initiatives. This role is crucial in maintaining marketplace reliability through real-time supply/demand balancing. The team builds scalable systems that leverage ML models and network optimization to make pricing decisions affecting billions in annual gross bookings.
The position offers an opportunity to work on high-impact projects that directly influence both rider experience and driver earnings. You'll be leading teams developing sophisticated ML models and pricing algorithms, while collaborating with various departments to drive innovation. The role combines technical expertise in machine learning with leadership responsibilities, requiring both deep technical knowledge and strong people management skills.
Working at Uber, you'll be at the forefront of applying ML to solve complex marketplace dynamics. The role offers competitive compensation ($218,000-$242,000 base salary) plus equity and benefits. The hybrid work environment requires spending at least half of your time in the San Francisco office, promoting both flexibility and collaborative innovation.
This is an ideal opportunity for experienced ML practitioners who want to scale their impact through team leadership while working on challenging technical problems that directly affect millions of users. The role offers exposure to senior leadership and the chance to influence strategic decisions in a rapidly evolving technology company.