About the Role

We are looking for an experienced ML engineer to lead the design, development, optimization, and productization of machine learning (ML) solutions and systems that are used to solve strategically important or vaguely defined problems. You will build ML solutions to improve Uber’s earner incentive products and improve marketplace balance and efficiency. You will also lead ML engineers, provide technical leadership and directions for the team.

---- What the Candidate Will Do ----

• Lead efforts to drive the design, development, optimization, and productionization of ML solutions and systems that are used to solve strategically important problems.
• Provide technical leadership, and drive technical direction for the earner incentive team.
• Partner with other engineering teams, product owners, and stakeholders to build ML solutions
• Work on exploring opportunities and implementing enhancements to improve earner incentive efficiency.

---- Basic Qualifications ----

• PhD degree with 4 years of applied research experience or a Masters degree with 6+ years of experience of applied research experience
• 3+ years of experience in building machine learning models for business applications
• Experienced programming in Java, C++, Python or related language

---- Prefrred Qualifications---

• Experiences in translating business and functional requirements into machine learning problems and writing high quality production code
• Comfort with a high degree of ambiguity and ability to solve problems that haven’t been solved to scale.
• Experience and expertise in large scale Applied ML (Recommender systems, Search, Ads, Content relevance etc.) and Deep Learning.

For San Francisco, CA-based roles: The base salary range for this role is $207,000 per year - $230,000 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is $207,000 per year - $230,000 per year.

For all US locations, 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.

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.

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.