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 |
| 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 |
| Director, Global Escalations Director of Global Escalations to build and lead a world-class customer support experience for escalated issues globally. This role involves identifying and resolving service recovery situations, improving tech, operations, and customer support processes, and leveraging AI for root cause analysis and insights. The director will lead a team of 150 people, focusing on white-glove support, root cause identification, proactive AI utilization, customer advocacy, and influencing internal teams. | — | 5 |
| Associate Program Manager, Analytics & AI This role supports the execution of AI and advanced analytics initiatives by coordinating with cross-functional teams, gathering requirements, building AI-powered tools and workflows, analyzing data, and tracking project progress. It involves working with AI/ML models and AI agents, with a focus on improving team productivity and operational processes. | Agent | 5 |
| Associate Program Manager, AI&ML This Associate Program Manager role focuses on driving the execution of AI and advanced analytics initiatives within Uber's GSS DAS team. The role involves coordinating with cross-functional teams (Operations, Product, Data Science, Engineering) to support the development and rollout of AI-powered solutions. Key responsibilities include gathering business requirements, building AI-powered tools and workflows, analyzing datasets, and tracking project progress. The role requires foundational experience with SQL, Python for data manipulation, and exposure to AI/ML models and AI agents, with a preference for familiarity with the end-to-end AI/ML lifecycle. | Agent | 5 |
| Operations Lead, Scaled Solutions for Uber Internal Programs This role leads operations for a proprietary supply channel within Uber AI Solutions, focusing on scaling programs for internal solutions and external enterprises. The goal is to establish leadership in the AI training space by managing operations, defining go-to-market plans, advising product teams, and ensuring cross-functional alignment for safety and reliability. The role involves tracking metrics and scaling the channel internationally. | — | 5 |
| Applications Developer I _Enterprise Application This role is for an Applications Developer Engineer focused on the operational health, configuration, and lifecycle of Uber's core enterprise SaaS applications. The role involves managing application configurations, access, integrations, and automation, acting as a Super Admin, and resolving complex escalated issues. A key responsibility is designing and implementing automation and integration workflows using JavaScript, Python, APIs, and Enterprise AI applications like Gemini, ChatGPT, and Claude to reduce manual effort and improve reliability. The role requires strong programming skills in Python, JavaScript, Java, and SQL, and knowledge of databases like BigQuery and Apache Hive. | Agent | 5 |
| Enterprise Applications Developer This role is for an Enterprise Applications Developer Engineer responsible for the operational health, configuration, and lifecycle of core enterprise SaaS applications at Uber. The role involves managing applications, resolving complex issues, leading incident response, and designing/implementing automation and integrations using various programming languages and Enterprise AI applications. The candidate will act as a primary technical owner and Super Admin for applications like Google Workspace, Zoom, Slack, and others, bridging IT Engineering, Service Desk, Security, and Business stakeholders. | — | 5 |
| Sr IT Service Delivery This role focuses on operational maturity and AI-first programs for an IT Service Desk, aiming to increase virtual-agent deflection and automate support processes. It involves managing IT program management, IT operations leadership, and driving operational transformation through AI/automation adoption. | — | 5 |
| AV Labeling Program Manager II Program Manager for Uber's Physical AI team, focusing on managing human-in-the-loop (HITL) operations for ML/AI projects, specifically 2D/3D LiDAR annotations, object detection, and semantic segmentation. Responsibilities include designing data pipelines, managing global vendor operations, developing SOPs, and analyzing program metrics to drive decisions and improve processes from pilot to full-scale deployment. | Data | 5 |
| Senior Staff Engineer Senior Staff Engineer role focused on building the next generation of payment compliance infrastructure. The role involves leading architecture, strategy, and technical roadmap for platform components, including process workflow orchestrations and decisioning. A key aspect is researching and setting the roadmap for initiatives utilizing Machine Learning and AI for tasks like document processing, transcription, automated case adjudication, and matching. | Data | 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 II - ServiceNow This role is responsible for designing, developing, configuring, and supporting scalable ServiceNow solutions that leverage Now Assist and generative AI capabilities. The developer will focus on automating workflows, improving agent efficiency, and enabling intelligent self-service within the ServiceNow platform, while ensuring platform stability, performance, and integration. | 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 |
| Program Manager II - Analytics & ML This role involves program management for analytics and ML initiatives, focusing on driving data-driven projects, designing KPI tracking systems, performing analytical deep dives, engineering data ingestion frameworks, and developing ML-based solutions and automation tools. It includes integrating LLMs, developing intelligent data products like chatbots and recommendation systems, and applying pre-trained models to business use cases. | ShipAgent | 5 |
| Sr. Software engineer Senior Software Backend Engineer to join Uber's Customer Obsession team, focusing on building and enhancing backend systems for customer communication channels, including integrations with IVR, Video, and Generative AI solutions for self-service automation. | Agent | 5 |
| Sr Staff Engineer Senior Staff Data Engineer to define and drive the architecture, scalability, and intelligence of Uber's delivery data systems, leveraging Generative AI (GenAI) and intelligent data systems for automation and insights. This role involves leading cross-organizational initiatives for data ingestion, modeling, security, and governance at a global scale, with a focus on data quality and performance. | Data | 5 |
| Engineering Manager II, Data, Hyderabad Engineering Manager for FinTech Data & ML Systems team, responsible for leading a team in designing, implementing, and scaling data and ML solutions, driving architecture of data pipelines and feature stores, and providing technical leadership in data architecture, ETL, model training, and productionization of ML workflows. | Data | 5 |
| Engineering Manager II- Data Analytics and Recommendations Engineering Manager for Uber's Ads organization in India, leading the Reporting and Recommendations team. This role focuses on building foundational data, insights, and personalization systems for advertising across Mobility, Delivery, and Grocery. The team owns platforms for advertisers to understand performance, optimize spend, and reach audiences through scalable reporting, recommendations, and datamart solutions. Requires strong leadership in data-intensive systems and experience with recommendation/personalization systems. | — | 2 |
| Program Manager I, Tech This role focuses on data analysis, data engineering, and driving product/ops decisions through analytical insights. It involves designing KPI tracking systems, performing deep dives, and creating analytical data marts. The candidate will develop end-to-end analytical solutions, translate insights for various audiences, and lead projects. Experience with large datasets, Python/R, SQL, and Hive is required. Text mining and modeling experience is preferred. | — | 0 |
| Risk -Vendor Manager This role is for an Account Security & Risk (ASR) vendor manager at Uber, focusing on supporting outsourced operations. The manager will act as a bridge between BPO partners and internal risk teams, ensuring precise handling of account security inquiries, fraud prevention workflows, and account restriction appeals. The role requires vigilance, detail-orientation, and execution focus to protect user identities and platform integrity, guiding BPO agents through complex security escalations. | — | 0 |
| Workforce Management Scheduling Specialist III This role focuses on workforce management and scheduling for global contact centers, involving complex schedule generation, shift strategy, interval optimization, shrinkage management, and business continuity planning. It requires advanced proficiency in WFM systems like NICE IEX and strong analytical skills to balance business objectives with employee well-being. | — | 0 |
| Program Manager Program Manager role focused on financial planning and analysis, budget management, and creating automated reporting solutions for Uber's finance and product initiatives. Requires strong analytical, SQL, and Python skills, with experience in GSuite products and data visualization tools. | — | 0 |
| Program Manager II, Tech - Maps Program Manager II, Tech - Maps role at Uber focuses on leading high-impact, cross-functional programs within the Maps and Autonomous Mobility and Delivery domains. The role involves driving scalable solutions to improve product quality and user experience by operating at the intersection of Product, Engineering, Operations, Data Science, and Vendor Operations. Key responsibilities include leading technical and operational programs, conducting deep diagnostics on Maps and mobility issues, solving ambiguous problems, and deriving insights from complex datasets. The ideal candidate will have strong ownership, strategic thinking, operational execution skills, and be highly organized. | — | 0 |
| Head of Social, India & Sri Lanka Head of Social Media Manager for India and Sri Lanka at Uber, responsible for developing and executing strategic social plans to evolve and elevate the social media presence for Uber and Uber Eats. This role involves creating thumb-stopping content, managing creators, and collaborating with cross-functional partners. | — | 0 |
| Sr. Business Operations Manager, APAC This role focuses on the operational aspects of risk, fraud, and payments within Uber's APAC operations. The candidate will partner with Risk & Fraud ops, translate analytics into actionable insights, track key performance indicators (KPIs), handle incidents, and optimize processes. The role requires strong analytical skills, advanced SQL, proficiency in data visualization tools, and the ability to make data-backed decisions under pressure. It is not directly involved in building or researching AI/ML models but uses data analysis to support business operations in a regulated domain. | — | 0 |
| APAC Senior Regional Operations Manager, Uber Mobility This role focuses on driving growth and profitability for Uber Mobility in APAC by crafting and executing strategy for product portfolio mix, identifying solutions to platform challenges through data-centric analytics, and partnering with cross-functional teams. It requires strong analytical, problem-solving, and stakeholder management skills. | — | 0 |
| Director, Field Operations, Global Digital Experience & Platform Integrity This role leads global operations for Uber's Field Operations team, focusing on improving digital support experiences (GDX) and platform integrity (PI) through workflow optimization, automation, and data-driven insights. The Director will manage distributed teams, partner with Product and Engineering, and ensure scalable, high-quality support across Uber's global platform, with a focus on operational efficiency, customer satisfaction, and compliance. | — | 0 |
| Application Developer II– Identity & Access Management (IAM) This role is for an Application Developer L4 in the Identity and Access Management (IAM) team, focusing on designing, delivering, and supporting secure and scalable identity solutions. The role involves application development, integrations, automation, platform engineering, and technical project execution within the IAM domain. It also includes driving automation and emerging agentic AI capabilities to improve workflows and operational efficiency. The position requires a blend of hands-on engineering, production support, project execution, stakeholder management, and technical leadership. | — | 0 |
| Sr Software Engineer Software Engineer - Backend role focused on building and maintaining products and services for Uber's Earner organization, impacting millions of drivers and couriers globally. Responsibilities include developing applications, collaborating with cross-functional teams, ensuring system reliability, and analyzing production features. | — | 0 |
| Manager, Business Development Uber is seeking a Manager for their Business Development team in Bangalore, India. This role will focus on sourcing, negotiating, and implementing strategic partnerships to drive Uber's growth, profitability, and platform strategy in the India and South Asia region. The candidate will evaluate new business development opportunities, lead contract negotiations, build C-level relationships, and collaborate with internal teams. | — | 0 |
| Head of Strategy - India & South Asia Head of Strategy for Uber's India & South Asia Mobility business, responsible for long-term growth strategy, annual planning, competitive strategy, business forensics, and incubating new initiatives. This role involves managing a team and partnering with leadership to drive strategy execution across the region. | — | 0 |
| Program Manager II Tech This role is for a Program Manager II in the GSS DAS team at Uber, focusing on program management and execution within the Data Engineering space. The candidate will create KPI tracking frameworks, partner with Data Science, Analytics, Product, and ML teams, lead vendor partners, and leverage Gen AI for automation of Data Engineering workflows. The role requires at least 8 years of experience in data engineering program management, SQL proficiency, understanding of Data Engineering fundamentals, and strong leadership skills. Preferred qualifications include experience with Gen AI for Data Engineering efficiency and data exploration in batch/real-time systems. | — | 0 |
| Software Engineer II - IOS Software Engineer II - IOS role at Uber in Bangalore, India, focusing on building and maintaining large-scale iOS applications. Requires 3+ years of experience in iOS engineering with Swift and modern frameworks, strong understanding of software engineering best practices, and experience mentoring junior engineers. | — | 0 |
| Supply Manager (B2B ETS) Uber is seeking a Supply Manager for its B2B Employee Transportation Services (ETS) in India. The role involves end-to-end strategy and execution for fleets, focusing on new client launches and acquisitions. Responsibilities include defining fleet strategy, executing launch plans, ensuring operational stability, and collaborating with cross-functional teams on pricing and launch plans for new client acquisitions. The candidate will also participate in RFPs and prospective client engagements. | — | 0 |
| Application Developer L3 – Identity & Access Management (IAM) This role is for an Application Developer L3 in the Identity and Access Management (IAM) team, focusing on building secure, scalable, and reliable identity solutions. The role involves integration, automation, and platform engineering within IAM, supporting production stability, and exploring emerging agentic AI capabilities to improve workflows and operational efficiency. Responsibilities include designing, building, and maintaining IAM systems, APIs, and automation, integrating identity systems, and contributing to AI-driven approaches for operational improvements. | — | 0 |