Uber · 6 hours ago
Staff Machine Learning Engineer - Ads
San Francisco, CA
Full-time
Onsite
Senior Level, Lead/Staff
$30/hr - $30/hr
7+ years expUber is a leading technology company that focuses on transportation and delivery services. The Ads Machine Learning team is responsible for developing core ML systems that optimize ad selection, ranking, pricing, and delivery, while the Staff Machine Learning Engineer will lead the design and execution of the technical roadmap for Ads ML, ensuring high-quality ad recommendations and system reliability.
LogisticsMobile AppsRide SharingSoftwareTransportation
Responsibilities
Lead the design and evolution of machine learning models that power ads ranking, pricing, and auction systems at scale
Own end to end ML systems, including training pipelines, feature infrastructure, and low latency online inference for real time and batch use cases
Apply advanced statistical and ML techniques to improve ads relevance, marketplace efficiency, and advertiser outcomes
Define experimentation strategies, success metrics, and evaluation frameworks, and drive iteration through rigorous offline and online testing
Establish model and system observability through metrics, dashboards, and reliability best practices
Translate ambiguous product goals into durable ML architectures in close partnership with Product and Engineering
Provide technical leadership through mentorship, design reviews, and raising engineering standards across the Ads ML org
Stay current on advances in machine learning and ads auction systems, and drive adoption where they deliver clear impact
Qualification
Required
Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, Data Science, Machine Learning, Statistics, or a related quantitative field
Demonstrated ownership of designing, deploying, and evolving large scale machine learning systems powering ads ranking, auction, or pricing in production environments
Strong proficiency in Python for building production ML systems and defining model, feature, and training abstractions used across teams
Deep understanding of SQL with experience driving production decision making, data validation, and system level analysis
Strong grasp of big data and distributed system architectures, with experience designing data platforms and ETL pipelines that support Ads ML workloads
Hands on experience building and operating batch data pipelines using Spark or comparable distributed compute frameworks, with accountability for data quality and correctness
Proven expertise in experimentation and evaluation, including A/B testing and offline metrics for ads auctions, ranking quality, and marketplace outcomes
Experience defining and operationalizing model and serving level metrics, and building observability for reliable online ML inference systems
Experience owning or influencing online model serving, including latency aware inference, scalability, and reliability considerations
Strong grounding in statistical methods, with the ability to reason about bias, uncertainty, and tradeoffs in ads and marketplace systems
Demonstrated ability to influence product and technical direction by synthesizing complex modeling insights into clear recommendations
Ability to operate independently in ambiguous problem spaces, set technical direction, and drive alignment across ML, product, and platform teams
Strong communication skills across technical and executive audiences, with a consistent track record of mentorship and feedback
Preferred
7 or more years of industry experience as a Machine Learning Engineer or equivalent, with demonstrated impact at Staff or equivalent scope
Proven experience leading large, ambiguous technical initiatives and setting direction across teams in fast moving, cross functional environments
Experience designing, scaling, and operating production ML systems end to end, including training, deployment, and online inference
Hands on experience with online model serving and inference optimization, including latency aware systems, GPU based serving, or platforms such as Triton
Direct experience building or evolving ads auction systems, including ranking, pricing, calibration, or marketplace tradeoffs
Experience applying state of the art deep learning architectures for large scale recommendation or ranking systems, including modern GenRec patterns
Advanced degree (M.S. or Ph.D.) in Machine Learning, Data Science, or a related field is a plus
Benefits
Various benefits
Company
Uber
Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.
10001+ employees
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
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Trends of Total Sponsorships
2025 (830)
2024 (796)
2023 (684)
2022 (954)
2021 (750)
2020 (638)
Funding
Current Stage
Public CompanyTotal Funding
$35.56BKey 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
Dara Khosrowshahi
CEO
Prashanth Mahendra -Rajah
Chief Financial Officer
Recent News
Press Telegram
2026-02-05
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