UB
UberSr Machine Learning Engineer
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Before you apply
SalaryNo pay range posted
LocationSunnyvale, CA, United States
Work modehybrid
Typefull-time
SenioritySenior
Experience5+ yrs
Company size10,000+ people
First seenOct 26, 2026 · 1w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Masters degree in Computer Science, Engineering, Mathematics, or a related field, with 5+ years of full-time engineering experience
Proficiency in one or more programming languages (e.g., C, C++, Java, Python, Go)
Experience with machine learning and optimization algorithms
PhD in Computer Science, Engineering, Mathematics, or a related field, with 2+ years of full-time engineering experience
Experience solving complex business problems by translating them into machine learning and optimization solutions
Familiarity with large-scale data systems (e.g., Spark, Hive) and experience building production-ready algorithmic systems
Strong background in deep learning, generative AI, causal modeling, and reinforcement learning
Skills
C
C++
Java
Python
Go
machine learning
optimization algorithms
deep learning
generative AI
causal modeling
representation learning
personalization
Spark
Hive
Benefits
Equity
Bonuses
About the Role
Uber Marketplace is at the heart of Uber’s business, with Rider Pricing playing a critical role by setting prices and targeting promotions for Uber riders. Our team’s mission is to drive revenue growth, ridership growth and Uber’s profitability through advanced machine learning and data science. We build reliable, scalable platforms that optimize rider pricing in both real-time and offline systems, including baseline trip pricing and targeted discounts.
The Rider Pricing team is a fast-moving, high-opportunity space where you’ll have the chance to make a significant impact on the business. On this team, your work will affect over 95% of Uber’s mobility business revenue. You’ll take ownership of one key pillar of the rider pricing domain and lead the technical direction for improving our pricing algorithms, optimization algorithms and models. You will work across ML, serving, and optimization system components, and set technical direction for modeling best practices across model building, evaluation and deployment.
In this role, you’ll apply advanced machine learning technologies, including deep learning, generative AI for causal modeling, representation learning and personalization, to optimize Uber’s pricing. You will also work with serving infrastructure and product teams to design and evolve the rider pricing systems to support new product and algorithm evolutions and drive Uber’s top-line rider and revenue growth.
What You’ll Do
•
Take a lead on pricing ML and optimization problems, by developing and implementing new machine learning and optimization techniques powering billions of rides around the world, and helping riders achieve their mobility needs.
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Improve the performance of models and algorithms powering pricing algorithms and promotion targeting.
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Own the problem E2E, including working with cross-functional teams to define the product and/or technical roadmap.
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Mentor more junior team members by role modeling ML best practices. Collaborate with cross-functional teams to ensure alignment and drive Uber’s ridership and revenue growth. Help Uber’s end-users by making mobility options accessible and affordable.
Basic Qualifications
•
Masters degree in Computer Science, Engineering, Mathematics, or a related field, with 5+ years of full-time engineering experience.
•
Proficiency in one or more programming languages (e.g., C, C++, Java, Python, Go).
•
Experience with machine learning and optimization algorithms.
Preferred Qualifications
•
PhD in Computer Science, Engineering, Mathematics, or a related field, with 2+ years of full-time engineering experience.
•
Experience solving complex business problems by translating them into machine learning and optimization solutions.
•
Familiarity with large-scale data systems (e.g., Spark, Hive) and experience building production-ready algorithmic systems.
•
Strong background in deep learning, generative AI, causal modeling, and reinforcement learning.
Ready to Ride?
This isn’t the kind of place where you follow a playbook — it’s where you help write one. If you’re driven by impact, energized by challenge, and ready to shape how the world moves — we’d love to hear from you.
Benefits
You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.
Offices remain key to collaboration and Uber’s culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role’s requirements.
Legal
Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.