About the Role

The Location Search & Semantics team builds and maintains cutting edge Machine Learning systems to power Map Search & Recommendation at scale across Uber apps - pickup and destination search in the Rides, Eats, Connect etc. The team leverages large language models and other deep learning techniques to serve the most relevant places and address recommendations to users.

As the Engineering Manager, you will be leading some of the best minds in the industry to solve challenging ML problems at scale to provide magical map search experience to riders booking trips and eaters ordering food in the Uber platform.

What the Candidate Will Do ----

• Lead the team to deliver on multiple projects in an ambiguous and high-impact area
• Work with your team and cross functional partners to define and influence strategy
• Participate in ML and backend technical design
• Drive roadmap creation and execution
• Measure the impact of your team and set clear expectations and goals
• Work effectively with cross functional partners and stakeholders to set and achieve optimal outcomes

---- Basic Qualifications ----

• 5+ years of hands-on machine learning work experience building large scale systems, algorithms, and toolsets within the Machine Learning domain.
• In depth understanding of distributed systems supporting ML solutions at scale.
• Demonstrated experience recruiting and managing technical team(s) in the machine learning domain.

---- Preferred Qualifications ----

• Subject Matter Expert in NLP/Search & Recommendation domain.
• Demonstrated experience in leading technical team(s) solving machine learning problems end-to-end in an ambiguous or high-impact area.
• Highly Technical as well as effective people manager.

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.

For Canada-based roles: The base salary range for this role is CAD$182,000 per year - CAD$202,000 per year.

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

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