Uber
Join to apply for the
Optimization Engineer II
role at
Uber Join to apply for the
Optimization Engineer II
role at
Uber Get AI-powered advice on this job and more exclusive features. 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. 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 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
Using statistical/machine learning/forecasting models for demand and supply models Develop the objective function which balances magical user experience and economics of the business Design dispatch timing algorithms
It is a challenging yet rewarding job. You will have a lot of opportunities to work with product managers, data scientists and engineers from other teams. You will be in charge of solving Uber-scale problems with the right techniques like reinforcement learning, deep learning, and optimization methods.
What You Will Do
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 to production. You will help identify new opportunities for improving our algorithms and models.
Basic Qualifications
PhD in Computer Science, Engineering, Mathematics or a related field Experience in programming with a language such as Python, C, C++, Java, or Go. Experience with SQL and database systems such as Hive, Kafka, and Cassandra. 1 year or more of industry experience developing algorithms and optimization models for large-scale deployment.
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) Strong communication skills and ability to work effectively with cross-functional partners.
For New York, NY-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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., For New York, NY-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Internet Marketplace Platforms Referrals increase your chances of interviewing at Uber by 2x Sign in to set job alerts for “Optimization Engineer” roles.
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Optimization Engineer II
role at
Uber Join to apply for the
Optimization Engineer II
role at
Uber Get AI-powered advice on this job and more exclusive features. 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. 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 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
Using statistical/machine learning/forecasting models for demand and supply models Develop the objective function which balances magical user experience and economics of the business Design dispatch timing algorithms
It is a challenging yet rewarding job. You will have a lot of opportunities to work with product managers, data scientists and engineers from other teams. You will be in charge of solving Uber-scale problems with the right techniques like reinforcement learning, deep learning, and optimization methods.
What You Will Do
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 to production. You will help identify new opportunities for improving our algorithms and models.
Basic Qualifications
PhD in Computer Science, Engineering, Mathematics or a related field Experience in programming with a language such as Python, C, C++, Java, or Go. Experience with SQL and database systems such as Hive, Kafka, and Cassandra. 1 year or more of industry experience developing algorithms and optimization models for large-scale deployment.
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) Strong communication skills and ability to work effectively with cross-functional partners.
For New York, NY-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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., For New York, NY-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$167,000 per year - USD$185,500 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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Internet Marketplace Platforms Referrals increase your chances of interviewing at Uber by 2x Sign in to set job alerts for “Optimization Engineer” roles.
Foster City, CA $140,000.00-$170,000.00 1 day ago San Francisco, CA $198,000.00-$220,000.00 3 days ago Senior Optimization Engineer, Delivery Pricing
San Francisco, CA $198,000.00-$220,000.00 10 hours ago San Francisco, CA $130,000.00-$145,000.00 2 hours ago San Francisco, CA $120,000.00-$180,000.00 6 months ago San Francisco, CA $167,000.00-$185,500.00 2 weeks ago Machine Learning Engineer, Forecast Platform
Mine Engineer, Drill and Blast Optimization
Machine Learning Engineer - Prediction and Planning
Foster City, CA $204,000.00-$245,000.00 6 days ago San Francisco, CA $198,000.00-$220,000.00 2 weeks ago Machine Learning Engineer: Perception and Planning
Oakland, CA $150,000.00-$250,000.00 2 days ago San Francisco, CA $110,000.00-$140,000.00 2 months ago San Francisco, CA $203,040.00-$303,480.00 2 weeks ago South San Francisco, CA $110,000.00-$130,000.00 1 month ago Machine Learning Engineer, Computer Vision
AI Engineers, Software Developers, and Full-Stack Innovators
Build-up Packaging - Process Integration Engineer (entry-level)
Alameda, CA $60,000.00-$100,000.00 4 weeks ago Software Engineer, Behavior & Motion Planning
San Francisco, CA $150,000.00-$200,000.00 1 month ago Redwood City, CA $85,000.00-$115,000.00 1 day ago GenAI Staff Machine Learning Engineer, Performance Optimization
Staff Optimization Engineer, Dynamic Pricing
San Francisco, CA $223,000.00-$248,000.00 2 weeks ago Software Engineer, Performance Optimization
San Francisco, CA $149,998.00-$250,000.00 11 months ago San Francisco, CA $192,000.00-$264,000.00 2 months ago San Francisco, CA $75,000.00-$150,003.00 11 months ago San Francisco, CA $100,000.00-$150,000.00 2 months ago Oakland, CA $130,000.00-$165,000.00 1 week ago Staff Machine Learning Engineer, Optimization
Process Engineer, application via RippleMatch
San Francisco, CA $165,600.00-$315,000.00 2 days ago Process Engineer, application via RippleMatch
Oakland, CA $108,000.00-$135,000.00 3 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr