Senior Machine Learning Engineer - Dynamic Pricing jobs in United States
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Uber · 1 day ago

Senior Machine Learning Engineer - Dynamic Pricing

Uber is a leading transportation network company, and they are seeking a Senior Machine Learning Engineer to join their Surge team. The role involves building large-scale pricing optimization systems using machine learning to balance supply and demand in real-time, ultimately enhancing the customer experience through efficient pricing strategies.

LogisticsMobile AppsRide SharingSoftwareTransportation
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H1B Sponsor Likelynote

Responsibilities

You will work with a mixed team of Engineers, Operations Researchers, and Economists to build large-scale pricing optimization systems to set prices based on real-time marketplace conditions for Uber's rides products globally
You will build ML models, conduct experiments, define monitoring metrics, and ensure good operational excellence at scale
You will help improve existing models through novel architectures and features in addition to identifying new applications and opportunities for Machine Learning

Qualification

Machine LearningDeep LearningOptimization AlgorithmsPyTorchTensorFlowEnd-to-End ML SystemsPythonJavaGoC++ExperimentationTime Series ForecastingPerformance Evaluation MetricsModel MonitoringSpatial Temporal DataVariational Auto EncoderState Space ModelNormalizing FlowInference OptimizationBottleneck IdentificationHigh-Complexity EnvironmentsCommunication SkillsOwnership

Required

PhD in relevant fields (CS, EE, Math, Stats, etc.) with a focus on Machine Learning
3+ years of experience in an ML role with an emphasis on data and experiment driven model development
Expertise in deep learning and optimization algorithms
Experience with ML frameworks such as PyTorch and TensorFlow
Experience building and productionizing innovative end-to-end Machine Learning systems
Proficiency in one or more coding languages such as Python, Java, Go, or C++
Strong communication skills and can work effectively with cross-functional partners
Strong sense of ownership and tenacity toward hard machine-learning projects

Preferred

Experience in serving and monitoring online training systems such as real time recommendation systems
Experience designing and implementing novel metrics for performance evaluation
Experience handling time series data and time series forecasting (experience handling spatial temporal data is plus)
Deep understanding of models such as VAE (Variational Auto Encoder), SSM (State space model), and Normalizing Flow
Experience in inference optimization and monitoring model performance efficiency and being able to identify bottlenecks
Proven track record in conducting experiments and tracking models in high-complexity environments

Benefits

Participate in Uber's bonus program
May be offered an equity award & other types of comp
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