Uber
Optimization Engineer II - Delivery Marketplace
Uber, San Francisco, California, United States, 94199
Optimization Engineer II - Delivery Marketplace
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Optimization Engineer II - Delivery Marketplace
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Uber 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. What You Will Do Lead efforts within the Delivery Marketplace team and broader organization to ideate, develop, and productionize optimization solutions using real-time and ML-based signals to solve strategically important problems. Work on problem spaces such as demand and supply models using statistical, machine learning, and forecasting techniques. Develop the objective function balancing magical user experience and economics of the business. Design dispatch timing algorithms. Build new scalable algorithms for real-time delivery matching across hundreds of global marketplaces. Take concepts from mathematical formulation through prototype and experiment to production. Identify opportunities for improving our algorithms and models. Responsibilities
Overview (context) It is a challenging role that involves collaborating with product managers, data scientists and engineers from other teams. You will work on Uber-scale problems using techniques such as reinforcement learning, deep learning, and optimization methods. Basic Qualifications PhD in Computer Science, Engineering, Mathematics or a related field Experience in programming with 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 (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 Compensation & Benefits Base salary ranges: New York, NY; San Francisco, CA; Sunnyvale, CA — USD 167,000 to 185,500 per year. Eligible to participate in Uber's bonus program and may be offered an equity award and other types of compensation. Eligible for various benefits. More details at https://www.uber.com/careers/benefits. Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Internet Marketplace Platforms Referrals increase your chances of interviewing at Uber. Get notified about new Optimization Engineer jobs in
San Francisco, CA .
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Join to apply for the
Optimization Engineer II - Delivery Marketplace
role at
Uber 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. What You Will Do Lead efforts within the Delivery Marketplace team and broader organization to ideate, develop, and productionize optimization solutions using real-time and ML-based signals to solve strategically important problems. Work on problem spaces such as demand and supply models using statistical, machine learning, and forecasting techniques. Develop the objective function balancing magical user experience and economics of the business. Design dispatch timing algorithms. Build new scalable algorithms for real-time delivery matching across hundreds of global marketplaces. Take concepts from mathematical formulation through prototype and experiment to production. Identify opportunities for improving our algorithms and models. Responsibilities
Overview (context) It is a challenging role that involves collaborating with product managers, data scientists and engineers from other teams. You will work on Uber-scale problems using techniques such as reinforcement learning, deep learning, and optimization methods. Basic Qualifications PhD in Computer Science, Engineering, Mathematics or a related field Experience in programming with 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 (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 Compensation & Benefits Base salary ranges: New York, NY; San Francisco, CA; Sunnyvale, CA — USD 167,000 to 185,500 per year. Eligible to participate in Uber's bonus program and may be offered an equity award and other types of compensation. Eligible for various benefits. More details at https://www.uber.com/careers/benefits. Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Internet Marketplace Platforms Referrals increase your chances of interviewing at Uber. Get notified about new Optimization Engineer jobs in
San Francisco, CA .
#J-18808-Ljbffr