Staff Software Engineer, TLM - Uber Eats Promotions & Incentives

About the Role

Software engineering at Uber develops next gen technologies that change how millions of users across the globe travel, eat and earn. Our products need to optimize dynamic networks of consumers and earners at massive scale, delivering reliability, throughput and economics. We're looking for engineers who are innovators at heart and push boundaries in areas of dynamic pricing, mechanism design, machine learning & algorithms, distributed systems, large scale system design. As software engineering, you will work on projects critical to Uber's needs with the opportunity to collaborate across teams and functions as you and our fast-paced business grows. We require our engineers to be versatile, display leadership qualities and passionate about new problems across the stack.

With technical and leadership expertise, you will be a TLM within the Eats marketplace organization, responsible for leading ML focused team in the space of engagement and incentive for Uber Eats. You will provide technical leadership, manage project priorities, deadlines and deliverables, and mentor team members. You will work with product owners, data scientists and business teams to translate key insights and business opportunities into ML driven technical solutions, support productionization efforts and empower team to deliver impact.

For San Francisco, CA-based roles: The base salary range for this role is USD$218,000 per year - USD$242,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.