Sr Software Engineer

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

• 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

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 .

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