Uber · 6 days ago
Engineering Manager II, Rider Personalization
San Francisco, CA
Full-time
Onsite
Director/Executive
$223K/yr - $248K/yr
8+ years expUber is a leading technology company focused on creating intuitive and personalized experiences for riders through machine learning and AI. The Engineering Manager II for the Rider Personalization team will lead the design and deployment of machine learning services, collaborating with cross-functional teams to enhance the rider journey and ensure the app meets users' needs effectively.
LogisticsMobile AppsRide SharingSoftwareTransportation
Responsibilities
Define and execute the Rider ML product and engineering roadmap and strategy, focusing on personalization and discovery experiences that enhance the rider journey
Direct the design and deployment of real-time machine learning services and APIs that are critical to business success, supporting diverse platform goals across Uber's business lines. These goals include enhancing engagement, boosting transactions and bookings, improving ranking and discovery efficiency, especially in cold-start scenarios
Partner effectively with cross-functional teams to gather real-time, high-quality data essential for content ranking and personalization. These collaborations span engineering partners, product managers, data scientists, designers, and operations teams
Collaborate with key stakeholders to define key results (KRs) and align the team's execution plans accordingly. Build scalable processes to support partner teams' integration with the ranking platform
Coordinate with technical leads to develop robust on-call protocols, along with alerting and monitoring systems, for both the machine learning models and serving infrastructure
Stay informed on the latest AI/ML research and industry advancements, identify promising methodologies, and motivate the team to evaluate and integrate relevant innovations into production
Hire, develop, and retain top-tier machine learning professionals while nurturing a culture centered on innovation, teamwork, and technical mastery
Qualification
Required
MS or equivalent experience in Computer Science, Engineering, Mathematics or related field
8+ years of industry experience as an Applied Scientists/Machine Learning Engineer with 3+ years of experience leading a team as a manager
Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design
Experience working with cross-functional teams(product, science, product ops etc)
Preferred
Ph.D. in Computer Science, Machine Learning, or a closely related discipline
8+ years of industry experience designing, deploying, and operating large-scale production machine learning systems
Background in search, recommendation systems, ranking/retrieval, or representation learning is highly desirable
3+ years of leadership experience managing engineering teams, either as a Tech Lead Manager (TLM) or Engineering Manager (EM), with strong cross-functional collaboration and communication skills
Practical experience building production-grade recommender systems or ML systems such as search, speech/audio, or image recognition, with proficiency in deep learning frameworks like PyTorch, Keras, or TensorFlow
Demonstrated success leading cross-functional initiatives with tight deadlines. Excellent at communication, alignment-building, and influence across complex organizational structures
Experience at coaching/mentoring engineers to elevate performance and keep top talent motivated and engaged
Benefits
You will be eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
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
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Company data provided by crunchbase