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 Machine Learning Engineer - AV Foundation, AV Labs This role is for a Senior Machine Learning Engineer in Uber's AV Labs, focusing on frontier research for autonomous vehicles. The engineer will design and develop novel techniques, lead the model lifecycle, and publish original research. The role involves working with real-world driving data at scale and aims to advance autonomous vehicle technology through advanced ML and computer vision. | PretrainPost-train | 10 |
| 2026 PhD Research Intern, India Research Intern role focused on LLM post-training, data efficiency, and evaluation benchmarks, with a goal of publishable research and real-world impact at Uber AI Solutions. | Post-train |
| 9 |
| Sr. Scientist, UberEats Applied AI (Machine Learning) Scientist role focused on applying ML research, including Deep Learning, Reinforcement Learning, and GenAI, to build and optimize recommender systems for UberEats. The role involves designing algorithms, leading ML initiatives, conducting experiments, and owning the ML workflow from hypothesis to production, with a focus on real-time, low-latency systems. | ShipAgent | 8 |
| 2026 PhD Applied Research Project (3 months), Aarhus PhD intern role focused on applied research in reliability and efficiency for Uber's core infrastructure. Projects involve optimizing systems, building risk scoring models, classifying incident data, advancing workflow versioning, and applying Generative AI or analysis techniques to prevent regressions. The role bridges novel research with production impact, requiring ownership from ideation to implementation. | AgentEval Gate | 7 |
| Applied Scientist, Economist - Marketplace Fairness Applied Scientist role focused on assessing bias in products, projects, and machine learning models within Uber's marketplace. The role involves deep investigations, fairness testing, and contributing to AI/ML governance, working closely with legal, policy, and product teams. | Eval Gate | 5 |
| Applied Scientist II This role focuses on providing strategic insights, measurement, and optimization for a large brand marketing budget. It involves designing experiments, leveraging causal inference models, and analyzing large datasets to guide marketing strategy and understand customer behavior. The ideal candidate has a strong quantitative background, expertise in experimentation and causal inference, and excellent stakeholder management skills. | — | 0 |