Staff Machine Learning Engineer

Who you are

You have a Master's degree or equivalent in Computer Science, Engineering, Mathematics, or a related field, along with over 6 years of full-time experience in machine learning engineering. Your expertise lies in deep learning and optimization algorithms, and you are well-versed in ML frameworks such as PyTorch and TensorFlow. You have a proven track record of building and productionizing innovative end-to-end machine learning solutions, demonstrating your ability to tackle complex challenges effectively.

You thrive in collaborative environments, working closely with cross-functional teams including product, operations, and science partners. Your strong analytical skills enable you to identify strategic technical investments that push the efficiency frontier and boost business growth. You are passionate about enhancing user experiences and optimizing incentive efficiency across various verticals, including food and grocery.

Desirable

Experience in managing end-to-end project execution, from scoping and offline evaluation to experimentation, production, and post-launch operations is a plus. You are comfortable leading teams to design and implement machine learning and optimization solutions that meet ambitious business goals. Your ability to influence the direction of technical solutions is key to your success in this role.

What you'll do

In this role, you will provide technical leadership in machine learning, guiding your team to identify gaps and opportunities for improvement. You will lead the design and implementation of ML and optimization solutions that enhance incentive efficiency and user experience. Your responsibilities will include managing the entire project lifecycle, ensuring that projects are scoped accurately, evaluated thoroughly, and executed efficiently.

Collaboration is at the heart of what you do. You will work closely with product managers, operations teams, and data scientists to ensure that the solutions you develop align with business objectives and user needs. Your insights will help shape the strategic direction of the Consumer Incentives team, driving profitability and growth across Uber's various verticals.

You will also be responsible for mentoring junior team members, sharing your knowledge and expertise to foster a culture of learning and innovation within the team. Your leadership will inspire others to push boundaries and explore new possibilities in machine learning and optimization.

What we offer

Uber offers a dynamic work environment where you can make a significant impact on the company's growth trajectory. You will have the opportunity to work on complex challenges that affect hundreds of millions of users globally. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

In addition to competitive compensation, you will benefit from a collaborative culture that promotes professional development and growth. Our team is dedicated to enhancing the customer experience, and your contributions will play a vital role in achieving this mission. Join us at Uber and be part of a team that is shaping the future of transportation and delivery services.