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 |
|---|---|---|
| 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-trainEval Gate | 9 |
| Senior Research Scientist, Generative AI This role focuses on foundational and applied research in Generative AI, specifically optimizing AI Solutions gig marketplace through intelligent matching, accelerating human-in-the-loop data annotation, and developing automated evaluation systems. The candidate will drive research in LLM post-training, data efficiency, and benchmark design, with a strong emphasis on publication in top-tier AI/ML conferences. | Post-train |
| 9 |
| Senior Manager, Technical Program Management, GenAI Senior Manager, Technical Program Management, GenAI role at Uber AI Solutions. This role involves managing and scaling a team of TPMs to deliver complex AI training and evaluation services for frontier AI labs and AI-native companies. Responsibilities include shaping solutions, defining delivery models, establishing governance, ensuring high-quality execution, and building AI service capability and delivery maturity. Requires strong technical judgment, people leadership, program delivery expertise, and fluency in AI model training and evaluation. | Post-trainAgent | 8 |
| Manager II, Technical Program Management, GenAI Manager II, Technical Program Management, GenAI role at Uber AI Solutions. This senior, customer-facing leadership position involves managing and scaling a team of TPMs responsible for delivering complex AI training and evaluation services. The role requires partnering with various internal and external stakeholders to shape solutions, define delivery models, and ensure high-quality execution, with a strong emphasis on technical judgment, people leadership, and program delivery expertise in the AI model training and evaluation ecosystem. | Eval GateData | 8 |
| Staff Machine Learning Engineer Uber's Applied AI team is seeking a Staff ML Engineer to design, implement, and scale high-impact AI solutions, focusing on Generative AI, Computer Vision, and Personalization. The role involves leading technical projects, influencing ML system architecture, and collaborating cross-functionally to deliver AI-powered features from ideation to production. | Ship | 8 |
| 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 |
| Senior Machine Learning Engineer - Applied AI Senior ML Engineer role focused on building and deploying production-ready ML systems, including generative AI, computer vision, and personalization, to power core Uber products. The role involves the full ML lifecycle from experimentation to monitoring and emphasizes delivering end-to-end AI solutions. | Ship | 8 |
| Senior Machine Learning Engineer Senior ML Engineer at Uber's Applied AI team, focused on delivering end-to-end AI solutions for core business problems, including Generative AI, Computer Vision, and Personalization. The role involves building production-ready ML systems and infrastructure, from experimentation to deployment and monitoring, to power user and business-facing products. | Ship | 8 |
| Senior Product Manager - AI Quality Product Manager role focused on defining the future of agentic Conversational AI at Uber, specifically on building, testing, and scaling intelligent agents. The role involves working across AI reasoning, evaluation infrastructure, and platform tools for AI assistants in customer support environments. Requires strong product management fundamentals and practical experience building AI/LLM products, with a focus on agents, platforms, model evaluation, or intelligent tools. | Eval GateAgent | 7 |
| Senior Machine Learning Engineer Uber is seeking a Senior Machine Learning Engineer for their Customer Obsession team to design, develop, and productionize ML solutions for customer support. The role involves generative AI, agentic AI, NLP, and distillation techniques to enhance customer experience and achieve cost savings. | AgentPost-train | 7 |
| Sr ML Engineer Senior ML Engineer role focused on building and productionizing ML models for Uber's Offers team, enhancing personalization and promotions. The role involves owning the end-to-end ML lifecycle, from data pipelines to low-latency serving, and collaborating cross-functionally to drive business impact. | AgentServe | 7 |
| Senior Machine Learning Engineer, Customer Obsession Senior Machine Learning Engineer for Uber's Customer Obsession team, focusing on enhancing customer support experience and driving cost savings through ML solutions. The role involves designing, developing, and productionizing generative AI, agentic AI, and NLP models, with a strong emphasis on experimental design and collaboration. | AgentPost-train | 7 |
| Sr. ML Engineer Senior ML Engineer on the Content Platform team at Uber, focusing on building core ML capabilities for a customer support chatbot (Nova). The role involves improving response quality through observability, retrieval, ranking algorithms, and content strategies. Key responsibilities include defining observability and evaluation frameworks, developing retrieval and ranking algorithms (semantic search, RAG), building feedback loops, and collaborating with stakeholders to deliver production systems. | AgentEval Gate | 7 |