Uber
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Machine Learning Engineer II, Pricing
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Uber Join to apply for the
Machine Learning Engineer II, 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. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders. 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. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders.
We are looking for exceptional ML engineers with a track record of extraordinary impact and 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.
What You Will Do
Design, develop, and productionize 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 senior engineers to plan the scope and execution of projects and mentor junior team members on design and implementation Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems
Basic Qualifications
Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact 2+ 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 Familiarity with modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization), combined with proven ability and ambition to continuously deepen expertise in these areas
Preferred Qualifications
Experience in translating ambiguous business problems into technical solutions in a structured and principled way Strong communication skills, including through documentation and design discussions 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$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 Seattle, WA-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 Seattle, WA-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 Get notified about new Machine Learning Engineer jobs in
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Machine Learning Engineer II, Pricing
role at
Uber Join to apply for the
Machine Learning Engineer II, 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. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders. 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. Engineers on the team work on cutting-edge marketplace ML problems and real-time multi-objective optimizations serving 1M+ predictions/second. They regularly present $1B+ opportunities to executive stakeholders and receive close mentorship from the most senior engineers within the organization, setting you up for fast-tracked career growth and the opportunity to learn from experienced technical leaders.
We are looking for exceptional ML engineers with a track record of extraordinary impact and 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.
What You Will Do
Design, develop, and productionize 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 senior engineers to plan the scope and execution of projects and mentor junior team members on design and implementation Work with a team of engineers, product managers, and scientists to design and deliver high-impact technical solutions to complex business problems
Basic Qualifications
Ph.D., M.S. or Bachelor's degree in Computer Science, Machine Learning, or Operations Research, or equivalent technical background with exceptional demonstrated impact 2+ 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 Familiarity with modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. LP, convex optimization), combined with proven ability and ambition to continuously deepen expertise in these areas
Preferred Qualifications
Experience in translating ambiguous business problems into technical solutions in a structured and principled way Strong communication skills, including through documentation and design discussions 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$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 Seattle, WA-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 Seattle, WA-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
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Seattle, WA . Software Engineer, Credit Card and SoFi Money
Seattle, WA $105,600.00-$198,000.00 1 month ago Seattle, WA $99,500.00-$187,000.00 1 week ago Seattle, WA $100,000.00-$220,000.00 5 months ago Software Developer-Artificial Intelligent/Machine Learning
Seattle, WA $158,200.00-$185,000.00 3 weeks ago Bellevue, WA $130,000.00-$170,000.00 1 month ago Seattle, WA $112,725.00-$177,840.00 2 days ago Machine Learning Engineer, Monetization Engineering
Bellevue, WA $145,000.00-$204,000.00 2 weeks ago Seattle, WA $147,000.00-$259,000.00 1 week ago Machine Learning Engineer, Core Engineering
Seattle, WA $140,000.00-$220,000.00 3 weeks ago Bellevue, WA $147,000.00-$259,000.00 1 week ago Machine Learning Engineer, Forecast Platform
Seattle, WA $112,725.00-$177,840.00 2 days ago Bellevue, WA $71,200.00-$127,200.00 3 weeks ago Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance)- 2025 Start (MS)
Seattle, WA $112,725.00-$177,840.00 2 weeks ago Seattle, WA $180,000.00-$264,000.00 22 hours ago Machine Learning Engineer Intern (E-commerce-Recommendation) - 2025 Summer/Fall (BS/MS)
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Seattle, WA $112,725.00-$177,840.00 56 minutes ago Greater Seattle Area $155,000.00-$175,000.00 17 hours ago Bellevue, WA $56.25-$173,000.00 2 weeks ago Seattle, WA $56.25-$173,000.00 2 weeks ago Redmond, WA $56.25-$173,000.00 2 weeks ago California, United States $100,000.00-$720,000.00 1 week ago Seattle, WA $70.67-$208,000.00 2 weeks ago [HackerRank]Software Engineer Graduate (E-commerce Recommendation Infrastructure) - 2025 Start (BS/MS)
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