About Us

Uber is changing how people think about transportation, part of the logistical fabric of 600+ cities - giving people what they want when they want it.

Size: 10000+ employees
Industry: Technology

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About the Role

The Consumer Real-Time Pricing team within the Delivery Marketplace organization is responsible for balancing supply and demand in the Eats/Delivery Marketplace. Our team builds signals, algorithms, recommendations and levers that work in real-time to keep the marketplace in balance. Our work has a direct impact on Uber's top & bottom line.

Optimization/Operations Research Engineers lead efforts within the team and broader Delivery Marketplace organization to drive ideation, development and productionization of optimization solutions with real-time and ML-based signals that solve strategically important problems. Some existing problem spaces that the team works on:

• Develop the objective function which balances magical user experience and economics of the business
• Improve timeliness for Uber delivery trips
• Maximize throughput of trips the marketplace can handle
• Set optimal prices to achieve marketplace balance

It is a challenging yet rewarding job. You will have a lot of opportunities to work with product managers, Applied Scientists and ML and BE engineers. You will be in charge of solving Uber-scale problems with the right techniques and algorithms.

What You Will Do:

• You will work with a mixed team of Backend Engineers, MLEs, and Applied Scientists
• You will build new scalable algorithms for real-time delivery pricing products across hundreds of global marketplaces
• You will take things from mathematical formulation through to prototype and experiment. You will work with backend engineers to put your ideas into production
• You will help identify new opportunities for improving our algorithms and models

Basic Qualifications

• Masters in relevant fields (Operations Research, Computer Science, Mathematics, Industrial Engineering, etc.) with a focus on optimization modeling
• 5+ years of industry experience developing algorithms and models for large-scale deployment
• Experience with optimization packages such as Gurobi, CPLEX, and OR Tools
• Strong communication skills and ability to work effectively with cross-functional partners
• Proficiency in one or more coding languages such as Python, Java, Go, or C+

Preferred Qualifications

• PhD in relevant fields (Operations Research, Computer Science, Mathematics, Industrial Engineering, etc.) with a focus on optimization modeling
• Experience with two or three-sided marketplace design, matching/allocation, pricing optimization, etc
• Familiarity with Machine Learning models, experimentation (e.g., A/B testing) and causal inference
• Experience with real-time optimization systems (optimization under tight time constraints)

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity 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.

For Canada-based roles: Uber may use artificial intelligence (AI) tools to support parts of our recruiting process; however, Uber employees make the ultimate selection and hiring decisions. This advertisement relates to a current, existing vacancy.

• For Canada-based roles: The base salary range for this role is CAD**$173,000 per year**

• CAD**$192,000 per year**.

• For New York, NY-based roles: The base salary range for this role is USD**$202,000 per year**

• USD**$224,000 per year**.

• For San Francisco, CA-based roles: The base salary range for this role is USD**$202,000 per year**

• USD**$224,000 per year**.

• For Sunnyvale, CA-based roles: The base salary range for this role is USD**$202,000 per year**

• USD**$224,000 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.

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity 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.

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Client-provided location(s): San Francisco, CA, New York, NY, Toronto, Canada, Sunnyvale, CA

Job ID: Uber-146489

Employment Type: FULL_TIME

Posted: 2026-01-31T19:57:27
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Perks and Benefits

Health and Wellness

• Health Insurance
• Health Reimbursement Account
• Dental Insurance
• Vision Insurance
• Life Insurance
• FSA With Employer Contribution
• Fitness Subsidies
• On-Site Gym
• Mental Health Benefits

Parental Benefits

Fertility Benefits:

Work Flexibility

• Flexible Work Hours
• Remote Work Opportunities
• Hybrid Work Opportunities

Office Life and Perks

• Casual Dress
• Pet-friendly Office
• Snacks
• Some Meals Provided
• On-Site Cafeteria

Vacation and Time Off

• Paid Vacation
• Unlimited Paid Time Off
• Paid Holidays
• Personal/Sick Days
• Sabbatical
• Volunteer Time Off

Financial and Retirement

• 401(K)
• Company Equity
• Performance Bonus

Professional Development

• Work Visa Sponsorship
• Associate or Rotational Training Program
• Promote From Within
• Mentor Program
• Access to Online Courses

Diversity and Inclusion

• Employee Resource Groups (ERG)
• Diversity, Equity, and Inclusion Program

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