This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Uber AI Solutions is one of Uber’s biggest bets with the ambition to build one of the world’s largest data foundries for AI applications and evolve into a platform of choice for a variety of online tasks. The Moonshot AI team focuses on optimizing the Uber AI Solutions gig marketplace through intelligent supply and demand matching. We also accelerate human-in-the-loop data annotation with automation and develop robust automated evaluation systems. We are in the early stages, with significant opportunities to build new ML models for the gig marketplace. This includes integrating advanced ML models to enable ML-assisted annotations for various use cases, such as Gen AI Labeling, Image/Audio/Video Classification, and Image/Video Segmentation, building LLM-as-Judge for automated quality evaluation, training ranking models to recommend gigs to earners, etc.. In this role, you will collaborate closely with product managers, program managers, and cross-functional teams to deliver real world impact. You’ll help grow Uber AI Solutions into a leader in the space.
Job Responsibility:
Contribute to and influence the technical direction for Uber AI Solutions, particularly around ML applications and research
Identify and choose the right problems that will benefit from ML expertise
Design and develop a suite of ML models that will help solve the above problems
Collaborate with backend and frontend engineers to integrate your solutions into our products & platforms
Explore novel ideas and innovative solutions that can lead to a step change in our products
Work with cross-functional counterparts like the ML Ops team to understand their needs and improve the models accordingly
Provide mentorship to engineers on the team and across partner orgs to help raise the technical bar
Requirements:
Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline
Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI
Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems
Excellent problem-solving and analytical abilities
Proven ability to collaborate effectively as a team player
8+ years of industry experience in ML/AI
A strong publication record in top-tier AI/ML conferences and journals, demonstrating a history of impactful research
Proven track record of training large models on distributed infrastructure
Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach
Experience collaborating effectively across an organization, not limited to just within teams
Nice to have:
8+ years of industry experience in ML/AI
A strong publication record in top-tier AI/ML conferences and journals, demonstrating a history of impactful research
Proven track record of training large models on distributed infrastructure
Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach
Experience collaborating effectively across an organization, not limited to just within teams
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp