Uber-posted 3 months ago
$223,000 - $248,000/Yr
Full-time • Manager
Seattle, WA
5,001-10,000 employees
Transit and Ground Passenger Transportation

As Manager for the Rider Intelligence team, you will join a team dedicated to using cutting-edge machine learning and AI to create an app experience that feels intuitive and personalized for millions of riders around the world. Your mission will be to ensure that riders always feel understood, with the app effortlessly anticipating their needs-whether they're booking a trip for immediate travel or exploring services that can meet future needs they didn't even know they had. In this role, you will collaborate closely with product managers, data scientists, and cross-functional teams to design scalable systems that enable a seamless, intelligent rider experience. You'll focus on helping users discover the right products and services tailored to their context, unlocking new possibilities and ensuring Uber is there for them at every step of their journey. This will be powered by building ML models and infrastructure staying at the cutting edge of ML/AI research in the industry. This is an exciting opportunity to be part of a broader Rider ML team with a far-reaching mission to personalize many aspects of the app and make Uber feel like a personal assistant that's always one step ahead.

  • 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.
  • Partner effectively with cross-functional teams to gather real-time, high-quality data essential for content ranking and personalization.
  • Collaborate with key stakeholders to define key results (KRs) and align the team's execution plans accordingly.
  • 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.
  • 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).
  • 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.
  • Eligible to participate in Uber's bonus program
  • May be offered an equity award & other types of compensation
  • Eligible for various benefits
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