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Staff Machine Learning Engineer - Marketplace jobs in United States
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Uber · 3 hours ago

Staff Machine Learning Engineer - Marketplace

Uber is seeking a Staff Machine Learning Engineer for their Marketplace Signals team, responsible for optimizing foundational marketplace signals to enhance user experiences. The role involves developing and optimizing machine learning models, collaborating with cross-functional teams, and improving operational efficiency through a centralized system for marketplace signals.
LogisticsMobile AppsRide SharingSoftwareTransportation
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H1B Sponsor Likelynote

Responsibilities

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

Qualification

Machine LearningDeep LearningPythonTensorFlowMLOpsProbabilistic ModelingOptimization TechniquesJavaBusiness SenseProblem-SolvingCollaboration

Required

Ph.D. or M.S. in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields
6+ years of industry experience in machine learning, including building and deploying ML models at scale
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
Experience in modern deep learning architectures and probabilistic modeling
Proficiency in programming languages (Python, Java, Scala) and ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
Solid understanding of MLOps practices, including design documentation, testing, and source code management with Git
Advanced skills in the development and deployment of large-scale ML models and optimization algorithms
Strong business and product sense: ability to shape vague questions into well-defined analyses and success metrics that drive business decisions

Preferred

Expertise in developing causal inference methodologies, experimental designs, and advanced analytical methods
Strong experience in building a wide range of models (e.g. causal inference, optimization, ML) for business applications
Experience in algorithm development and rapid prototyping
Design, develop, and operationalize econometric models to assess challenging causal problems such as product incrementality and long-term value
Propose, design, and analyze large-scale online experiments and interpret the results to draw actionable conclusions
Ability to drive clarity on the best modeling solution for a business objective
Collaborate with cross-functional teams across disciplines such as product, engineering, and operations to drive system development end-to-end from generating ideas to productionizing

Benefits

Participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Eligible for various benefits

Company

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

H1B Sponsorship

Uber has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (830)
2024 (796)
2023 (684)
2022 (954)
2021 (750)
2020 (638)

Funding

Current Stage
Public Company
Total Funding
$35.56B
Key Investors
William AckmanPayPalToyota Motor
2025-09-08Post Ipo Debt· $2.25B
2025-05-13Post Ipo Debt· $1B
2025-01-01Post Ipo Equity· $2.3B

Leadership Team

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Dara Khosrowshahi
CEO
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Prashanth Mahendra -Rajah
Chief Financial Officer
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Company data provided by crunchbase