Sr Machine Learning Engineer - Optimization

About the Role

Delivery Marketplace is a central pillar to Uber's delivery products. As the central brain of the company, we are the decision makers that make moving from point A to point B possible for every order that Uber serves, from UberEats to new verticals such as Grocery. We handle all the logic from making the dispatch decisions, predicting how long a delivery might take, and estimating optimal pickup times for orders. We build products that directly impact Uber's top and bottom lines.

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

Eater and courier segmentations based delivery matching decisions

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 matching 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

PhD in relevant fields (Operations Research, Computer Science, Mathematics, Industrial Engineering, etc.) with a focus on optimization modeling

3+ 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

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)

For New York, NY-based roles : The base salary range for this role is USD$198,000 per year - USD$220,000 per year. 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.

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 : / / docs.google.com / forms / d / e / 1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA / viewform

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