About the Role:
Software engineering at Uber develops next gen technologies that change how millions of users across the globe travel, eat and earn. Our products need to optimize dynamic networks of consumers and earners at massive scale, delivering reliability, throughput and economics. We're looking for engineers who are innovators at heart and push boundaries in areas of dynamic pricing, mechanism design, machine learning & algorithms, distributed systems, large scale system design. As software engineering, you will work on projects critical to Uber's needs with the opportunity to collaborate across teams and functions as you and our fast-paced business grows. We require our engineers to be versatile, display leadership qualities and passionate about new problems across the stack.
With technical and leadership expertise, you will be a senior tech lead within the Eats marketplace organization, responsible for defining and driving solutions for key strategic problems in the space of consumer pricing, engagement and incentive for Uber Eats. You will manage project priorities, deadlines and deliverables and design, develop, test, deploy and maintain software solutions. You will work with product owners, data scientists and business teams to translate key insights and business opportunities into technical solutions, lead architecture design, implementation and productionization efforts.
What the Candidate Will Do:

• Defining and driving solutions for key strategic problems in the space of consumer pricing, engagement and incentive for Uber Eats.
• Manage project priorities, deadlines and deliverables and design, develop, test, deploy and maintain software solutions.
• Partner with product owners, data scientists and business teams to translate key insights and business opportunities into technical solutions
• Lead architecture design, implementation and productionization efforts across stack and solutions

Basic Qualifications:

• BS or equivalent industry in Computer Science, Mathematics, Statistics or related field
• Minimum 7 years experience in software development, design & architecture and launching software products
• Industry experience in designing highly scalable and reliable engineering systems

Preferred Qualifications:

• Master's degree or PhD in Computer Science, Engineering or a related technical field.
• Minimum 5 years of hands-on experience in developing machine learning or deep learning solutions for real world problems
• 3 years of experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects.
• Industry experience in one or more of the following - Reinforcement Learning, Bayesian Optimization, Multitask Learning
• Industry experience or background in Mechanism Design and Pricing
• Prove track record of collaboration and leadership, and enthusiastic to take on new problems across the full-stack as we continue to push technology forward

For San Francisco, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$252,000 per year - USD$280,000 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 .
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 .
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.