## **About the role:**
## The focus of the Merchant Optimization team in the delivery marketplace is to ensure the best merchant selection for consumers, innovate on pricing models for merchants to effectively participate in the marketplace to achieve their business objective with highest ROI while aligning the Uber's Delivery business by driving growth and profitability.
## We are actively seeking individuals who excel in problem solving and critical thinking, are proficient in coding with proven track record of learning and growth, and prior experience in highly scalable distributed systems.
What the Candidate Will Do
01. Design, develop, and maintain robust and scalable software solutions
02. Collaborate with product managers, cross engineering teams, data scientists and other partners to gather requirements and translate them into technical specifications
03. Identify opportunities and lead of the entire development lifecycle end-to-end, from architecture design and coding to testing and deployment
04. Conduct thorough code reviews, offering constructive feedback to maintain high code quality and elevate coding standards
05. 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
06. Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment
07. Hands-on experience in productionizing machine learning or deep learning models in production
08. Proficiency in building batch and real-time data pipelines
09. ## Design, develop, and maintain robust and scalable software solutions
10. ## Collaborate with product managers, cross engineering teams, data scientists and other partners to gather requirements and translate them into technical specifications
11. ## Identify opportunities and lead of the entire development lifecycle end-to-end, from architecture design and coding to testing and deployment
12. ## Conduct thorough code reviews, offering constructive feedback to maintain high code quality and elevate coding standards
13. ## 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
14. ## Mentor and guide other engineers, providing technical leadership and encouraging a collaborative and growth-oriented team environment
15. ## Hands-on experience in productionizing machine learning or deep learning models in production
16. ## Proficiency in building batch and real-time data pipelines
## **About the Team:**
__
## **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:
- Previously worked in pricing domain and strong knowledge of machine learning or Optimization
- You have experience building distributed systems at scale
- You thrive on learning new technologies and don't believe in one-size-fits-all solutions. You adapt easily to meet the needs of our massive growth and rapidly evolving business environment.
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](https://forms.gle/aDWTk9k6xtMU25Y5A).
For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 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](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://forms.gle/aDWTk9k6xtMU25Y5A).
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.
