Sr Machine Learning Engineer

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 Seattle, WA-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 , 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 Seattle, WA-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