About the Team:

Uber Ads and Personalization are the fastest growing areas in the company, balancing the marketplace across merchants, advertisers, consumers and Uber. As a backend engineer on this team you will drive the implementation of a variety of products and systematic improvements while working closely with cross functional folks and other senior engineers. We are just scratching the surface of building a world class advertising and marketing platform for our marketers to reach our active users on the Uber platform. This is a once in a lifetime opportunity to build something brand new, which has deep technical challenges and great opportunities to continuously learn and grow.

Minimum qualifications:

• PhD or equivalent in Computer Science, Engineering, Mathematics or related field OR 3-years full-time Software Engineering work experience, WHICH INCLUDES 2-years total technical software engineering experience in one or more of the following areas:

• Programming language (e.g. C, C++, Java, Python, or Go)

• Note the 2-years total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these).  The years of specialized experience are not necessarily in addition to the years of Education & full-time work experience indicated.

Technical skills:

Preferred:

• Product engineering
• Scalability engineering
• Distributed systems
• A desire to be part of a team that delivers impactful results every day
• Innate drive to deliver results and a deep sense of accountability for your work
• Passion for designing and building hyper-scale distributed systems
• Resilience, determination, ownership mindset, and a keen appetite for collaborative efforts
• Committed to crafting clear, maintainable, and reusable software

What the Candidate Will 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 testing and 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
• Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment
• Hands-on experience in productionizing machine learning or deep learning models in production
• Proficiency in building batch and real-time data pipelines

For San Francisco, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.

For Seattle, WA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 per year.

For Sunnyvale, CA-based roles: The base salary range for this role is USD$185,000 per year - USD$205,500 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.