Uber
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.
Consumer · Rideshare
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 Software Engineer Senior Software Engineer role focused on developing and operating security services and frameworks using ML/GenAI techniques to protect Uber's products and platforms. Responsibilities include building ML-powered security systems, developing backend infrastructure and ETL pipelines, and productionizing ML models for security use cases. | Serve | 7 |
| Staff Engineer - Core Infrastructure Staff Engineer on the Core Infrastructure Platform team at Uber, focusing on the architecture and evolution of systems powering Uber's global business. The role involves leading the development of backend solutions for cloud-native, secure, reliable, and hyperscale-efficient ecosystems, supporting massive compute demands for Generative AI and Autonomous Vehicle data. Responsibilities include architectural evolution, driving efficiency, modernizing for multi-cloud, integrating AIOps & Automation, championing security, and influencing cross-functional teams to support large-scale AI/ML workloads. |
| Serve |
| 5 |
| Sr Staff Engineer - Core Infrastructure Senior Staff Engineer to lead the technical strategy and evolution of Uber’s Core Infrastructure Platform, focusing on compute, foundations, and software networking. The role involves architecting for extreme scale, optimizing fleet utilization, scaling GPU pools for Generative AI, modernizing the data plane, and integrating AI-driven automation (AIOps) into the infrastructure. | ServeAgent | 5 |
| Senior Software Engineer This role focuses on building scalable engineering solutions for Uber's Global Intelligence Team, which uses data and algorithms for marketplace decisions. The engineer will create a platform for data-driven decision-making, productionize models with the science team, and develop systems for real-time analytics and ML features at Uber scale. | Serve | 5 |
| Engineering Manager II - Courier Engineering Manager II for Uber Courier's Fulfillment team, focusing on pricing, ETA/ETD, post-trip transparency, support workflows, and order fulfillment reliability. Requires experience in launching products, leading teams, and building large-scale distributed systems. Preferred ML background in pricing algorithms for marketplaces. | Serve | 5 |