Uber · 10 hours ago
Sr. Scientist, UberEats Applied AI (Machine Learning)
San Francisco, CA
Full-time
Onsite
Mid, Senior Level
$190K/yr - $211K/yr
4+ years expUber is a leading technology company that focuses on solving complex problems in a fast-paced environment. As a Scientist on the Discovery Science team, you will design and implement machine learning algorithms to optimize business performance while collaborating with engineers and other disciplines to address high-impact challenges.
LogisticsMobile AppsRide SharingSoftwareTransportation
Responsibilities
Design and implement ML algorithms and objective functions that unify competing business interests like organic relevance and sponsored content into a single value space
Act as the science lead for foundational machine learning initiatives, unblocking technical debt and optimizing feature engineering for high-scale, real-time systems
Navigate the ambiguity of user behavior by designing sophisticated experiments and causal inference frameworks that go beyond standard A/B testing
Collaborate across disciplines (Product, Engineering, and Data Science) to translate high-level business goals into theoretically sound and performant technical roadmaps
Research and apply advancements in Deep Learning, Reinforcement Learning, and GenAI to solve complex, high-impact problems without a clear starting point
Own your algorithms/ML workflow, from the first scientific hypothesis to debugging production issues in real-time, low-latency environments
Qualification
Required
Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields
Minimum 4 years of industry experience as an Applied or Data Scientist or equivalent (2+ years if holding a Ph.D.)
Proficiency in Python or R with experience handling large-scale datasets using Spark, Hive, or PySpark
Proven experience in building and training Deep Learning models
Solid understanding of statistical methods, experimental design, and A/B testing
Preferred
Domain expertise in Ranking, Recommender Systems (RecSys), or Search
Experience with advanced modeling techniques like Reinforcement Learning, multi-task learning, or auto-regressive models
Ability to communicate complex scientific results to both technical and non-technical stakeholders to influence business strategy
Familiarity with deploying production-grade pipelines into real-time, low-latency systems using Kafka or Pinot
Strong systems thinking and the ability to make smart trade-offs between short-term velocity and long-term scientific rigor
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
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
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 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
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