Uber
Consumer · Rideshare
Consumer · Rideshare
Uber is actively hiring for 130 AI-related roles, with a significant focus on agents, which accounts for 40% of their open positions. Application roles also represent a substantial portion of their AI hiring at 29%. The majority of these roles are within Engineering, with the United States being the primary hiring country. Frequent technology tags include model serving, recommender systems, and agent orchestration, suggesting a direction towards deploying and managing AI systems.
Currently tracking 95 active AI roles, down 34% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$336k (avg $224k).
Uber currently has 86 active AI-related roles in our index. The most common open titles are: Senior Software Engineer (3), 2026 PhD Applied Research Project (3 months), Aarhus, 2026 PhD Research Intern, India, 2026 PhD Software Engineering Internship, Security, Amsterdam, Agentic GTM Lead. Most positions are in Engineering and Product.
Uber's active AI hiring is concentrated in: agents (50%), application (19%), data (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Uber is hiring AI talent in: United States (67 roles), India (12 roles), Netherlands (7 roles), Denmark (1 role).
Job postings at Uber most frequently mention: Machine Learning, Production ML Systems, Autonomous Driving, Robotics, Generative AI.
In the past 30 days, Uber has posted 5 new AI-related roles. That is a -84% change versus the prior 30 days (32 → 5).
| Title | Stage | AI score |
|---|---|---|
| Senior Staff Engineer Senior Staff Engineer role focused on building the next generation of payment compliance infrastructure. The role involves leading architecture, strategy, and technical roadmap for platform components, including process workflow orchestrations and decisioning. A key aspect is researching and setting the roadmap for initiatives utilizing Machine Learning and AI for tasks like document processing, transcription, automated case adjudication, and matching. | Data | 5 |
| Engineering Manager II, Data, Hyderabad Engineering Manager for FinTech Data & ML Systems team, responsible for leading a team in designing, implementing, and scaling data and ML solutions, driving architecture of data pipelines and feature stores, and providing technical leadership in data architecture, ETL, model training, and productionization of ML workflows. | Data |
| 5 |