Uber
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Machine Learning Engineer II
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Uber Join to apply for the
Machine Learning Engineer II
role at
Uber Get AI-powered advice on this job and more exclusive features. About The Role
Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding.
The Marketplace Signals team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals-such as eyeball ETA, spinner time, and supply reliability indicators-are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions. About The Role
The Marketplace Signals team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals-such as eyeball ETA, spinner time, and supply reliability indicators-are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions.
What The Candidate Will Do
Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts). Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized. Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases. Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.
Basic Qualifications
B.S. in Statistics, Mathematics, Computer Science, or Machine Learning 2 years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation Strong problem-solving skills, with expertise in ML methodologies Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech, recommender systems) Experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java
Preferred Qualifications
3+ years of experience in software engineering specializing in applied ML methods Experience in designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods. Detail-oriented, ownership and truth-seeking mindset. Values and produces analytic evidence and insight, as well as applying them to improve technical solutions. Experience working in a cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team's strategies Master's degree in Computer Science, Engineering, Mathematics or related field
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 levelNot Applicable Employment type
Employment typeFull-time Job function
Job functionEngineering and Information Technology IndustriesInternet Marketplace Platforms Referrals increase your chances of interviewing at Uber by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. San Francisco, CA $160,000.00-$180,000.00 2 days ago San Francisco, CA $130,000.00-$238,000.00 11 hours ago San Francisco, CA $150,000.00-$250,000.00 3 weeks ago Full-Stack Software Engineer (Jr/Mid level) San Francisco, CA $120,000.00-$180,000.00 30 minutes ago San Francisco, CA $99,500.00-$200,000.00 2 weeks ago San Francisco, CA $150,000.00-$230,000.00 4 months ago San Francisco, CA $180,000.00-$280,000.00 1 day ago Software Development Engineer I - Frontend & Mobile San Francisco, CA $99,500.00-$200,000.00 2 weeks ago Software Engineer Intern, Frontend - Fall 2025 San Francisco, CA $56.25-$137,000.00 3 days ago San Francisco, CA $160,000.00-$200,000.00 2 months ago San Francisco, CA $150,000.00-$176,000.00 3 months ago San Francisco, CA $150,000.00-$283,000.00 2 days ago San Francisco, CA $120,000.00-$190,000.00 9 months ago San Francisco, CA $130,000.00-$140,000.00 2 weeks ago Software Engineer, AI Intern (Summer 2026) San Francisco, CA $125,000.00-$175,000.00 2 months ago Software Engineer, AI Intern (Winter 2026) San Francisco, CA $130,000.00-$240,000.00 2 weeks ago San Francisco, CA $163,200.00-$223,200.00 2 days ago Software Engineer, Frontend (All Levels) San Francisco, CA $150,000.00-$220,000.00 2 weeks ago San Francisco, CA $99,500.00-$200,000.00 2 weeks ago San Francisco, CA $140,000.00-$280,000.00 8 months ago San Francisco, CA $155,000.00-$339,500.00 2 weeks ago Software Engineer Intern, Frontend - Winter 2025 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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Machine Learning Engineer II
role at
Uber Join to apply for the
Machine Learning Engineer II
role at
Uber Get AI-powered advice on this job and more exclusive features. About The Role
Are you ready to apply Make sure you understand all the responsibilities and tasks associated with this role before proceeding.
The Marketplace Signals team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals-such as eyeball ETA, spinner time, and supply reliability indicators-are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions. About The Role
The Marketplace Signals team at Uber is responsible for building and optimizing foundational marketplace signals that power user experiences and drive marketplace efficiency. Our team ensures that key signals-such as eyeball ETA, spinner time, and supply reliability indicators-are leveraged effectively across various Uber products and levers, enabling data-driven decision-making and seamless coordination across different business functions.
What The Candidate Will Do
Develop and optimize ML models to enhance key marketplace signals (e.g., ETA predictions, supply availability metrics, demand forecasts). Collaborate with cross-functional teams (Pricing, Matching, Driver Incentives, etc.) to ensure marketplace signals are effectively utilized. Improve operational efficiency by building a centralized, scalable system for marketplace signals that serves multiple use cases. Leverage cutting-edge ML techniques (deep learning, probabilistic modeling, reinforcement learning, etc.) to continuously refine marketplace signals.
Basic Qualifications
B.S. in Statistics, Mathematics, Computer Science, or Machine Learning 2 years of experience in software engineering with an emphasis on data-driven methodologies, deep learning, and online experimentation Strong problem-solving skills, with expertise in ML methodologies Experience in applying ML, statistics, or optimization techniques to solve large-scale real-world problems (e.g. ads tech, recommender systems) Experience in ML frameworks (e.g. Tensorflow, Pytorch, or JAX) and complex data pipelines; programming languages such as Python, Spark SQL, Presto, Go, Java
Preferred Qualifications
3+ years of experience in software engineering specializing in applied ML methods Experience in designing and crafting scalable, reliable, maintainable and reusable ML solutions using deep-learning techniques and statistical methods. Detail-oriented, ownership and truth-seeking mindset. Values and produces analytic evidence and insight, as well as applying them to improve technical solutions. Experience working in a cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team's strategies Master's degree in Computer Science, Engineering, Mathematics or related field
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 levelNot Applicable Employment type
Employment typeFull-time Job function
Job functionEngineering and Information Technology IndustriesInternet Marketplace Platforms Referrals increase your chances of interviewing at Uber by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. San Francisco, CA $160,000.00-$180,000.00 2 days ago San Francisco, CA $130,000.00-$238,000.00 11 hours ago San Francisco, CA $150,000.00-$250,000.00 3 weeks ago Full-Stack Software Engineer (Jr/Mid level) San Francisco, CA $120,000.00-$180,000.00 30 minutes ago San Francisco, CA $99,500.00-$200,000.00 2 weeks ago San Francisco, CA $150,000.00-$230,000.00 4 months ago San Francisco, CA $180,000.00-$280,000.00 1 day ago Software Development Engineer I - Frontend & Mobile San Francisco, CA $99,500.00-$200,000.00 2 weeks ago Software Engineer Intern, Frontend - Fall 2025 San Francisco, CA $56.25-$137,000.00 3 days ago San Francisco, CA $160,000.00-$200,000.00 2 months ago San Francisco, CA $150,000.00-$176,000.00 3 months ago San Francisco, CA $150,000.00-$283,000.00 2 days ago San Francisco, CA $120,000.00-$190,000.00 9 months ago San Francisco, CA $130,000.00-$140,000.00 2 weeks ago Software Engineer, AI Intern (Summer 2026) San Francisco, CA $125,000.00-$175,000.00 2 months ago Software Engineer, AI Intern (Winter 2026) San Francisco, CA $130,000.00-$240,000.00 2 weeks ago San Francisco, CA $163,200.00-$223,200.00 2 days ago Software Engineer, Frontend (All Levels) San Francisco, CA $150,000.00-$220,000.00 2 weeks ago San Francisco, CA $99,500.00-$200,000.00 2 weeks ago San Francisco, CA $140,000.00-$280,000.00 8 months ago San Francisco, CA $155,000.00-$339,500.00 2 weeks ago Software Engineer Intern, Frontend - Winter 2025 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