Machine Learning Engineer

Join Uber's Marketplace Intelligence team as a Machine Learning Engineer and be at the forefront of enabling smart pricing experiences to enhance consumer price perception and increase long-term engagement. This role offers an exciting opportunity to work on challenging and impactful problems in a dynamic environment.

As a Machine Learning Engineer, you'll be responsible for innovating and implementing cutting-edge machine learning models specifically tailored for Uber's unique use cases. Your work will directly impact millions of users through the development of large-scale ML systems that power marketplace experiences. The role involves maintaining and optimizing existing models while also contributing to the development of new solutions for production features and pricing products.

The position requires either a PhD in relevant technical fields or significant industry experience with machine learning applications. You'll work with modern ML frameworks and technologies including PyTorch, TensorFlow, and various big data tools. The role offers competitive compensation ranging from $167,000 to $185,500 per year, plus additional benefits including equity and bonus opportunities.

This hybrid position is based in the San Francisco Bay Area, requiring at least 50% office presence to maintain Uber's collaborative culture. You'll be joining a team that values innovation, technical expertise, and strong communication skills, working alongside cross-functional partners to drive Uber's marketplace intelligence forward.

If you're passionate about applying machine learning to real-world problems at scale, have a strong technical background, and want to impact millions of users worldwide, this role offers an excellent opportunity to advance your career while working on meaningful challenges in the transportation and technology sector.