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 |
|---|---|---|
| Staff ML Engineer - GenAI Staff ML Engineer focused on designing, developing, and productionizing Conversational GenAI solutions for customer support at Uber Eats, aiming for significant cost savings and improved user experience. The role involves agentic AI design, NLP, distillation, experimentation, and technical leadership. | AgentPost-train | 8 |
| Program Manager II, Analytics & AI Program Manager II for Uber's GSS Data Analytics team, focusing on leading analytics, automation, and AI initiatives. The role involves partnering with various teams to solve business challenges, develop scalable solutions, and drive measurable business impact. Responsibilities include defining problems, establishing metrics, driving execution, utilizing advanced analytics, translating findings, managing projects, designing KPI frameworks, identifying ML/GenAI opportunities, building intelligent data products (conversational assistants, recommendation systems, etc.), and leading teams/vendors. |
| Agent |
| 5 |
| Product Manager - Mobility Marketplace Product Manager for Uber's Mobility Marketplace, focusing on matching algorithms to improve rider and driver experience. Requires experience with algorithmic/ML-powered products and driving execution in a metrics-driven environment. | Agent | 5 |
| Applications Developer I - ServiceNow This role focuses on designing, developing, and supporting scalable ServiceNow solutions, specifically leveraging Now Assist and generative AI capabilities to automate workflows, improve agent efficiency, and enable intelligent self-service. The role involves platform development, integration, CMDB management, and ensuring platform stability and performance within Uber's technical ecosystem. | Agent | 5 |
| Application Developer II _Atlassian Develop and optimize applications on the Atlassian platform, leveraging AI capabilities to automate workflows, connect data sources, and augment user productivity. This role involves building AI-powered applications and Atlassian Rovo Agents, integrating LLMs, and utilizing AI tools in the development workflow. | Agent | 5 |
| Sr Applications Developer_Atlassian Cloud Senior Applications Developer for Atlassian Cloud (Jira/Confluence) focusing on building secure, scalable applications. Role involves technical leadership, mentoring, and developing solutions using AI, GenAI, and Rovo Agents to automate workflows and create intelligent experiences. Requires strong Atlassian Forge expertise, Node.js, JavaScript/TypeScript, and cloud-native architectures. Experience with AI-powered developer tools and AI/GenAI systems is required/preferred. | Agent | 5 |