Uber
Consumer · Rideshare
Consumer · Rideshare
Currently tracking 95 active AI roles, down 34% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$336k (avg $224k).
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.
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 |
|---|---|---|
| Security Engineer II - Threat Modeling & AI Security Engineer focused on red teaming AI agents and developer tools, identifying vulnerabilities, and driving mitigation efforts. The role involves translating AI security standards into controls, scaling testing with automation, and communicating risk to stakeholders. | Agent | 7 |
| Privacy Technologist II - AI This role involves performing technical privacy reviews of engineering design documents, managing anonymization pipelines, and evaluating/improving AI-powered review tooling. The focus is on driving the privacy aspects of AI automation and ensuring safe handling of sensitive data within AI systems, particularly agentic AI and GenAI. | Agent | 7 |
| Staff Data Scientist (Fraud, Risk) |
| Ship |
| 7 |
| Senior Data Scientist - Applied AI Senior Data Scientist role focused on applied AI and ML for Uber's Discovery Science team. The role involves designing and implementing ML models for recommender systems, unifying business interests, and applying advanced techniques like Deep Learning and Reinforcement Learning to solve complex problems. It requires end-to-end ownership of models, from hypothesis to production debugging in low-latency environments. | Ship | 7 |
| Machine Learning Engineer II Machine Learning Engineer II at Uber on the Rider ML team, focused on developing and deploying ML infrastructure and ranking solutions for personalized rider experiences, optimizing homepage and product selection ranking with real-time, low-latency deep learning models. | Ship | 7 |
| Sr. Machine Learning Engineer Uber is seeking a Sr. Machine Learning Engineer to enhance rider experience through personalized recommendations and tailored services at scale. The role involves developing and deploying deep learning models for real-time, ultra-low latency applications, focusing on ranking solutions and ML infrastructure for rider engagement across various touchpoints. The position requires strong software engineering skills, expertise in ML methodologies, and experience with ML frameworks and data pipelines. | ShipServe | 7 |