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Uber Software Engineer II - Customer Obsession Personalization in Sunnyvale, California

About the Team:

The Customer Obsession Personalization team is dedicated to revolutionizing Uber's customer support by providing personalized experiences for millions of users daily. Leveraging advanced machine learning and artificial intelligence techniques, we aim to deliver tailored support solutions that meet the unique needs of each user. Our work encompasses analyzing vast datasets to understand user behavior and preferences, enabling the creation of a more intuitive and responsive support system.

Minimum qualifications:

  • Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 1+ years of full-time engineering experience.

  • Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).

  • Proven track records of being a fast learner and go-getter, with willingness to get out of the comfort zone.

  • Experience with any of the following: Spark, Hive, Kafka, Cassandra.

  • Note the 1-year 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 year of specialized experience is not necessarily in addition to the years of Education & full-time work experience indicated.

Technical skills:

Preferred:

  • 4+ years of industry experience in applied ML systems, or a Ph.D. and 2+ years of industry experience.

  • Experience with building algorithmic solutions in production, making practical tradeoffs among algorithm sophistication, compute complexity, maintainability, and extensibility in production environments.

  • Experience with design and architecture of ML systems and workflows.

  • Experience owning and delivering a technically challenging, multi-quarter project end to end.

  • Passion to use machine learning to empower Uber products.

What will you do:

  • Design and implement a backend system to enable personalized support for millions of Uber users.

  • Utilize advanced Machine Learning and AI algorithms to innovate within Uber's personalized support systems.

  • Collaborate with team engineers to resolve product ambiguities.

  • Contribute to team efforts in enhancing the support experience through technical innovation and problem-solving.

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world!

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have a curiosity, passion and collaborative spirit, work with us, and let's move the world forward, together!

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 .

For Sunnyvale, CA-based roles: The base salary range for this role is USD$158,000 per year - USD$175,500 per year. 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- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform

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