Uber
Staff Machine Learning Engineer - Marketplace Pricing
Join to apply for the
Staff Machine Learning Engineer - Marketplace Pricing
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Uber Staff Machine Learning Engineer - Marketplace Pricing
2 days ago Be among the first 25 applicants Join to apply for the
Staff Machine Learning Engineer - Marketplace Pricing
role at
Uber Get AI-powered advice on this job and more exclusive features. 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
Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence 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 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 6+ years experience leading the development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters Proficiency in programming languages such as Python, Scala, Java, or Go Proficiency with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. multi-objective, LP, convex optimization)
Preferred Qualifications
Experience developing multi-year technical strategies and cross-team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output of others Track record of translating complex business problems into technical solutions and driving multi-functional projects across multiple teams Excellent communication skills to lead initiatives across multiple product areas and collaborate effectively with cross-functional teams Proficiency in reinforcement learning and causal machine learning
For New York, NY-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 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 Not Applicable 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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Join to apply for the
Staff Machine Learning Engineer - Marketplace Pricing
role at
Uber Staff Machine Learning Engineer - Marketplace Pricing
2 days ago Be among the first 25 applicants Join to apply for the
Staff Machine Learning Engineer - Marketplace Pricing
role at
Uber Get AI-powered advice on this job and more exclusive features. 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
Drive technical strategy and roadmap ownership over a 1+ year horizon and own the implementation, including platform-level architecture decisions, executive communication and alignment, technical mentorship, and cross-team technical influence 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 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 6+ years experience leading the development and deployment of ML models and optimization algorithms in large-scale production environments at top-tier ML companies (e.g. 1M+ predictions/sec or 100M+ users). Track record of delivering outstanding business impact over multiple quarters Proficiency in programming languages such as Python, Scala, Java, or Go Proficiency with large-scale data systems (e.g. Spark, Ray), real-time processing (e.g. Flink), and microservices architectures Proficiency in the development, training, productionization and monitoring of ML solutions at scale, ranging from offline pipelines to online serving and MLOps Experience in developing and deploying pricing algorithms for multi-sided real-time marketplaces with strategic agent behavior Deep understanding of modern ML algorithms (e.g. DNNs, multi-task models, transformers) and mathematical optimization (e.g. multi-objective, LP, convex optimization)
Preferred Qualifications
Experience developing multi-year technical strategies and cross-team platform architecture, and proficiency owning technical roadmap and leading complex technical projects while substantially influencing the scope and output of others Track record of translating complex business problems into technical solutions and driving multi-functional projects across multiple teams Excellent communication skills to lead initiatives across multiple product areas and collaborate effectively with cross-functional teams Proficiency in reinforcement learning and causal machine learning
For New York, NY-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$223,000 per year - USD$248,000 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 Not Applicable 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
Seattle, WA . Bellevue, WA $130,000.00-$200,000.00 2 weeks ago Seattle, WA $99,500.00-$187,000.00 2 weeks 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 4 weeks ago Redmond, WA $100,600.00-$258,000.00 2 weeks ago Bellevue, WA $130,000.00-$170,000.00 1 month ago Seattle, WA $112,725.00-$177,840.00 1 week ago Seattle, WA $176,600.00-$225,900.00 5 days ago Data Scientist – AI/ML Recommendations & Personalization
Redmond, WA $100,600.00-$215,400.00 2 weeks ago Software Engineer - AI/ML, Multiple Locations
Redmond, WA $84,200.00-$180,400.00 1 week ago Machine Learning Engineer, Payments ML Accelerator
Seattle, WA $212,000.00-$318,000.00 1 week ago Machine Learning Engineer, Monetization Engineering
Redmond, WA $100,600.00-$215,400.00 1 week ago Seattle, WA $167,000.00-$185,500.00 3 weeks ago Redmond, WA $100,600.00-$215,400.00 2 weeks ago Redmond, WA $100,600.00-$215,400.00 1 week ago Redmond, WA $100,600.00-$215,400.00 2 weeks ago Redmond, WA $100,600.00-$215,400.00 2 weeks ago Machine Learning Engineer, Core Engineering
Seattle, WA $140,000.00-$220,000.00 1 month ago Bellevue, WA $145,000.00-$204,000.00 3 days ago Machine Learning Engineer Graduate (TikTok E-Commerce - Conversational AI)-2025 Start (BS/MS)
Seattle, WA $112,725.00-$177,840.00 6 days ago Seattle, WA $147,000.00-$259,000.00 2 weeks ago Seattle, WA $112,725.00-$177,840.00 1 week ago Bellevue, WA $147,000.00-$259,000.00 2 weeks ago Seattle, WA $100,000.00-$720,000.00 2 weeks ago Bellevue, WA $129,300.00-$223,600.00 4 days ago Machine Learning Engineer, Forecast Platform
Software Engineer, Machine Learning (All levels)
Seattle, WA $120,000.00-$300,000.00 4 days ago Bellevue, WA $71,200.00-$127,200.00 1 month 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