About the Team:
Uber's Marketplace org is one of the most unique and complex organizations in the industry. We are at the core of Uber's business, responsible for building critical components across various work streams that impact Pricing on both rides and eats, positioning Incentives for earners across all of our platforms, Matching for rides and eats, designing Surge during our peak hours, as well Personalization, Merchant Optimization and Supply Forecasting that impact daily lives of our earners, riders, and eaters realtime. The org consists of a caliber of MLEs and Scientists who design, develop and productionize ML algorithms as well as BEs that enhance and maintain the ML platforms.
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Basic Qualifications:
- Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field with at least 2 year of full-time Software Engineering work experience OR PhD in Computer Science, Engineering, Mathematics or related field
- Proficiency in at least one programming language such as Java, C++, Python, or Go
- 2 year of experience with backend development, building and delivering end-user products.
Preferred Qualifications:
- Master's degree or higher in Computer Science, Engineering, Mathematics or related field
- More than 3 years of full-time Software Engineering work experience
- Proven experience building highly available distributed systems (at Uber scale) and working across multiple backend services
- Experience working on scalable backend systems utilizing a microservices architecture
- High bar for quality as demonstrated by code reviews, documentation, unit and integration testing
- Experience with optimization techniques and algorithmic development
- Strong problem-solving skills, with expertise in algorithms, data structures, and complexity analysis
What You'll Do:
- Design, develop, and maintain robust and scalable software solutions
- Collaborate with product managers, cross-engineering teams, data scientists and other partners to gather requirements and translate them into technical specifications
- Identify opportunities and lead of the entire development lifecycle end-to-end, from architecture design and coding to deployment
- Conduct thorough code reviews, offering constructive feedback to maintain high code quality and elevate coding standards
- Stay up-to-date with the latest technologies and industry trends, evaluating their potential impact on our software systems and recommending appropriate integrations or improvements
- Participate in periodic on-call rotations and be available for critical issues
For New York, NY-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 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.