Uber
Senior Machine Learning Engineer - Marketplace Pricing
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Senior Machine Learning Engineer - Marketplace Pricing
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Uber Continue with Google Continue with Google Senior Machine Learning Engineer - Marketplace Pricing
3 days ago Be among the first 25 applicants Join to apply for the
Senior Machine Learning Engineer - Marketplace Pricing
role at
Uber About The Role
Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. We use machine learning, optimization, and algorithmic game theory to set driver prices that dynamically align customers' and partners' interests while maximizing the value created by the marketplace. About The Role
Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. We use machine learning, optimization, and algorithmic game theory to set driver prices that dynamically align customers' and partners' interests while maximizing the value created by the marketplace.
We are looking for experienced candidates with a passion for building large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team's technical direction and solve some of Uber's most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide.
---- Basic Qualifications ----
---- Preferred Qualifications ----
What You Will Do ---- Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers Partner with the marketplace leadership team to set the team's technical direction and own its implementation, providing technical mentorship to junior engineers Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research 4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments Proficiency in programming languages such as Python, Scala, Java, or Go Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps Deep understanding of machine learning algorithms and mathematical optimization (e.g. LP, convex optimization) Experience leading complex technical projects and influencing the scope and output of others Track record of translating ambiguous business problems into technical solutions and driving multi-functional projects Excellent communication skills to lead initiatives and collaborate effectively with cross-functional partners Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior Experience in reinforcement learning and causal machine learning
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 https://www.uber.com/careers/benefits., 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 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 “Machine Learning Engineer” roles.
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Join to apply for the
Senior Machine Learning Engineer - Marketplace Pricing
role at
Uber Continue with Google Continue with Google Senior Machine Learning Engineer - Marketplace Pricing
3 days ago Be among the first 25 applicants Join to apply for the
Senior Machine Learning Engineer - Marketplace Pricing
role at
Uber About The Role
Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. We use machine learning, optimization, and algorithmic game theory to set driver prices that dynamically align customers' and partners' interests while maximizing the value created by the marketplace. About The Role
Uber's Marketplace is at the heart of Uber's business and the Dynamic Supply Pricing (DSP) team develops the models, algorithms, signals, and large-scale distributed systems that power real-time driver pricing for billions of rides. We use machine learning, optimization, and algorithmic game theory to set driver prices that dynamically align customers' and partners' interests while maximizing the value created by the marketplace.
We are looking for experienced candidates with a passion for building large-scale systems that optimize multi-sided real-time marketplaces. In this role, you will lead the design, development, and productionization of advanced ML models and pricing algorithms, covering deep learning, causal modeling, and reinforcement learning. You will work with engineers, product managers, and scientists to set the team's technical direction and solve some of Uber's most challenging and most complex business problems in order to provide earnings opportunities for millions of drivers worldwide.
---- Basic Qualifications ----
---- Preferred Qualifications ----
What You Will Do ---- Lead the design, development, and productionization of end-to-end ML solutions for large-scale distributed systems serving billions of trips Develop novel pricing approaches for online marketplaces combining machine learning, algorithmic game theory, and optimization to provide earnings opportunities for millions of drivers Partner with the marketplace leadership team to set the team's technical direction and own its implementation, providing technical mentorship to junior engineers Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research 4+ years of experience in developing and deploying machine learning models and optimization algorithms in large-scale production environments Proficiency in programming languages such as Python, Scala, Java, or Go Experience with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures Experience in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps Deep understanding of machine learning algorithms and mathematical optimization (e.g. LP, convex optimization) Experience leading complex technical projects and influencing the scope and output of others Track record of translating ambiguous business problems into technical solutions and driving multi-functional projects Excellent communication skills to lead initiatives and collaborate effectively with cross-functional partners Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior Experience in reinforcement learning and causal machine learning
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 https://www.uber.com/careers/benefits., 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 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 “Machine Learning Engineer” roles.
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Seattle, WA $166,000.00 - $244,000.00 2 weeks ago Machine Learning Engineer, Identity Product
Seattle, WA $212,000.00 - $318,000.00 1 week ago Seattle, WA $141,000.00 - $202,000.00 2 weeks ago Machine Learning Engineer Graduate (TikTok E-Commerce - Conversational AI) -2025 Start (BS/MS)
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Seattle, WA $183,000.00 - $271,000.00 1 day ago Senior ML Engineer, Applied Machine Learning
Machine Learning Engineer, Computer Vision
Senior Business Data Scientist, Global Affairs
Kirkland, WA $166,000 - $244,000 2 weeks ago Machine Learning Engineer Graduate (Search E-Commerce - Seattle) - 2025 Start (BS/MS)
Seattle, WA $118,657 - $168,150 5 days ago Seattle, WA $147,000 - $259,000 2 days ago Bellevue, WA $147,000 - $259,000 2 days ago Seattle, WA $118,658 - $168,150 1 week ago Seattle, WA $141,000 - $202,000 3 weeks ago Machine Learning Engineer, Forecast Platform
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Kirkland, WA $141,000 - $202,000 6 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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