About the Role
Uber's Machine Learning Engineers and Scientists use data to optimize all aspects of its core rideshare and delivery products. You will be joining the Delivery team, leading a team of machine learning engineers and scientists responsible for various aspects of our food delivery and grocery and retail business.
What you will do:
- Lead teams that build production algorithms and machine learning models for a range of applications.
- Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
- Use data to understand product performance and to identify opportunities.
- Present findings to senior management to advise business decisions.
- Collaborate with cross-functional teams across disciplines such as product, science, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.
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Basic Qualifications:
- Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience.
- 10+ years of ML experience and building ML models
- 4+ years of experience as a people manager
- Experience working with multiple multi-functional teams(product, science, product ops, etc).
- Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).
Preferred Qualifications:
- Experience with the design and architecture of ML systems and workflows.
- Experience with building algorithmic solutions in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments.
- Experience taking on vague business problems, translating them into ML + Optimization formulation, identifying the right features, model structure, and optimization constraints, and delivering business impact.
For San Francisco, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 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.