Uber · 6 hours ago
Staff Machine Learning Engineer
Seattle, WA
Full-time
Onsite
Senior Level, Lead/Staff
7+ years expUber is a leading company in the marketplace for transportation and delivery services, focusing on innovative economics and machine learning. The Staff Machine Learning Engineer will be responsible for building models and algorithms to optimize the earner experience and enhance the efficiency of Uber's operations.
LogisticsMobile AppsRide SharingSoftwareTransportation
Responsibilities
Build statistical, optimization, and machine learning models
Develop innovative new earner incentives that earners for choosing our network and optimizing Uber's new earner incentives spend
Optimize Uber's background check spend and onboarding funnel
Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
Develop matching algorithms for driver to driver mentorship program
Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
The team employs a variety of ML/AI techniques, spanning from causal ML meta learners, supervised ML, RL multi-armed bandits, genAI LLM to deep learning embeddings to build impactful data products
Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction
Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive ML system development end-to-end from conceptualization to final product
Qualification
Required
Masters or PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
7 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling
Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++)
Experience with any of the following: Spark, Hive, Kafka, Cassandra
Experience building and productionizing innovative end-to-end Machine Learning systems
Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design
Experience working with cross-functional teams(product, science, product ops etc)
Preferred
8+ years of industry experience in machine learning, including building and deploying ML models
Publications at industry recognized ML conferences
Experience in modern deep learning architectures and probabilistic modeling
Experience with optimization techniques, including reinforcement learning (RL), Bayesian methods, causal ML meta learners, genAI LLM
Expertise in the design and architecture of ML systems and workflows
Benefits
You will be eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
You will also be eligible for 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
Recent News
Foundation Capital
2025-12-31
2025-12-31
Company data provided by crunchbase