Applied Scientist • Staff

Who you are

You have a strong background in designing machine learning systems specifically for ranking and recommendation, which allows you to tackle complex challenges with ease. Your ability to set up multi-objective optimizations demonstrates your understanding of balancing the needs of different lines of business, and you thrive in environments with high degrees of complexity and ambiguity. With deep experience in large-scale consumer tech, you are well-equipped to contribute to Uber's mission of enhancing user experiences.

Desirable

Knowledge of the latest innovations in ranking and recommendation systems, including transformer architecture, is a plus. Understanding consumer platform businesses will further enhance your ability to influence and align engineering and product teams on the AIML roadmap.

What you'll do

In this role, you will play a tech lead role in framing cross-line-of-business optimizations and architecting novel machine learning solutions. You will prototype these solutions using Uber's internal ML model development tools, ensuring that they are effective and scalable. Your influence will extend to aligning engineering and product teams on the AIML roadmap for homescreen ranking, which is crucial for improving user satisfaction. Additionally, you will help identify system-wide improvements to Uber Rider ranking and recommendations, adopting the latest technologies in ranking and recommendation systems to drive innovation.

What we offer

At Uber, you will be part of a dynamic team that is at the forefront of consumer technology. We offer a collaborative work environment where your contributions will directly impact millions of users. You will have the opportunity to work with cutting-edge technologies and be involved in projects that shape the future of the Uber platform. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.