Software Engineer II

About the Role

The Earner Screenings team builds the engineering systems and workflows that power Uber' background check systems globally for any earner the platform.

Vision

Enable Uber execute fair, expeditious and transparent background screening processes for earners globally.

In provide a safe and reliable platform for our riders and earners, we ensure we screen our earners on various dimensions(Motor vehicle reports from DMVs, County criminal search, Municipal criminal search, Federal criminal search, National criminal search, Sex offender search, Global watchlist search etc) during and also make sure we continuously monitor their background reports. In build these capabilities, we have partnered with multiple vendors help pull the necessary data/reports for us. Once we get the necessary background check (BGC) information reports of the earners, we either adjudicate internally or depend on our vendors for adjudication.

Some of the key investment areas for the team in the coming years will be:

1. Make the Screenings funnel AI native by introducing in ML/model based optimizations in various parts of the Screenings funnel
2. Multi vendor marketplace ensuring vendor redundancy
3. Global screenings funnel analytics
4. Leveraging GenAI for making decisions on unstructured data

An engineer on the Screenings team has the opportunity build new earner experiences and leverage LLMs and ML models adjudicate BGC reports and deliver impactful cost savings the company

What the Candidate Will Do ----

1. Drive thought leadership and execution strategy on some very hard problems that are yet to be adequately defined.
2. Partner with fellow engineers to architect, develop and scale Uber’s Background Check platform and multiply your fellow team members performance by helping them do and become more.
3. Write high quality code to further our operational excellence
4. Drive ongoing efficiency and reliability improvements that improve the quality of the systems.
5. Write clear documentation so that other engineers can partner to contribute and deliver.
6. Deliver solutions to transportation infrastructure problems at a global scale.
7. Build new services and technology stack in a GenAI first environment

---- Basic Qualifications ----

1. BS/BE degree in Computer Science and related field. Advance degrees are preferred but not required.
2. A minimum 3 years of engineering experience.
3. Strong problem solving and coding skills. Competitive programming experiences are highly preferred.
4. A passion to learn. Our domain is cutting edge in the ridesharing business, and we want you to be as excited as we are.
5. Proven success at building large scale, distributed backend systems, with high iteration velocity
6. Proficiency in a high level programming language such as Golang, Java, Python
7. Extensive software design and development skills. Willingness to learn, and adapt to new technologies and contribute in a productive environment.
8. Experience working in an agile engineering environment.

---- Preferred Qualifications ----

1. Experience working with a large scale distributed system.
2. Leveraging LLM / traditional AI models
3. Experience working on a storage system

For Seattle, WA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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.

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.