Currently tracking 25 active AI roles, down 34% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$336k (avg $220k).
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 36 active AI-related roles in our index. The most common open titles are: Engineering Manager II, AV Labs, Engineering Manager II, Evaluation & Simulation - AV Labs, Engineering Manager II, Ranking and Recommendations, Grocery and Retail, Enterprise Applications Developer, Group Product Manager, AV Labs. Most positions are in Engineering and Product.
Uber's active AI hiring is concentrated in: agents (50%), data (19%), evaluation (11%). 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 (33 roles), Netherlands (2 roles), India (1 role).
Job postings at Uber most frequently mention: Machine Learning, Autonomous Driving, Computer Vision, Robotics, LLM Evaluation & Grading.
In the past 30 days, Uber has posted 10 new AI-related roles. That is a -68% change versus the prior 30 days (31 → 10).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer - Application Security Senior Software Engineer focused on application security, specifically designing and implementing automation to secure AI implementations and detect vulnerabilities using model-driven analysis. The role involves building distributed backend systems and agentic security features. | Agent | 5 |
| Sr Software Engineer Uber is seeking a Sr Software Engineer to lead technical execution and drive architectural decisions for their Marketplace Segmentation team. This role involves collaborating with Product, Data Science, and other engineering teams to solve complex problems in real-time matching, dynamic pricing, and ML model integration, ultimately impacting critical products like UberX Priority and Wait & Save. The engineer will also mentor junior team members and contribute to the team's long-term technical vision. | — |
| 5 |
| Senior Software Engineer - Communications Platform (Backend) Senior Software Engineer role focused on building and maintaining large-scale, intelligent communication infrastructure for Uber, supporting both real-time and offline communications, and integrating cutting-edge agentic AI experiences. The role involves architecting next-generation communication systems across various channels and leveraging GenAI tools. | Agent | 5 |
| IAM Operations Engineer II This role focuses on the operational aspects of Identity and Access Management (IAM) systems, leveraging AI and automation to improve security, compliance, and efficiency. The engineer will administer platforms like Okta and Azure AD, build automation scripts, integrate with AI-powered chatbots and RPA, and use AI/ML insights for anomaly detection and Zero Trust enforcement. The role requires scripting proficiency and experience with IAM platforms, with a preference for exposure to AI/ML models in security workflows and compliance frameworks. | — | 5 |
| Sr Data Scientist - Fraud/Risk Senior Data Scientist role focused on fraud and risk detection at Uber. The role involves applying ML and LLM techniques to identify and mitigate fraud trends, developing new data products and models, and collaborating with cross-functional teams to influence strategy and balance fraud mitigation with user experience. Success requires strong technical and business acumen, with an emphasis on leadership, communication, and problem-solving. | Ship | 5 |
| AI Experience Policy Specialist This role serves as a human-in-the-loop quality and safety gate for AI deployments, focusing on manual evaluations of customer and agent interactions with AI-powered support tools. The specialist will assess response accuracy, relevance, and customer experience, identify defects and gaps, and contribute to the continuous improvement of AI programs by providing actionable insights to product and engineering teams. The role requires expertise in policy operations and support policy frameworks, with a focus on ensuring AI outputs align with current policies and support standards. | — | 5 |
| Data Analyst, Measurement Science, Ads This role focuses on building automated data pipelines and analytics platforms for Uber Advertising, with a key responsibility to integrate GenAI for recommendations and insights. The primary focus is on data engineering and analytics automation. | Data | 5 |
| Lead Sales Operations Analyst - Global Delivery Partners Lead the data strategy and development for global business reviews, forecasting, and QBRs. Build forecast models and performance frameworks. Apply AI tools and technical automations to eliminate manual friction. Lead high-visibility initiatives. Act as a trusted advisor to Sales, Finance, and Strategy teams. | — | 5 |
| Staff Software Engineer (Backend) - Gen AI Staff Software Engineer (Backend) - Gen AI role focused on building and maintaining critical services and tools for Uber's Insurance needs, with a focus on automating and optimizing insurance claims processing. The role involves contributing to the technical roadmap, developing innovative features, and driving the scalability, reliability, and efficiency of critical systems, with exposure to GenAI (LLMs, Agentic systems) and ML systems in production. | Agent | 5 |
| Scientist II, Delivery (Multiple Teams) Scientist II role at Uber focusing on improving the delivery and rideshare experience using ML, Optimization, and Causal Inference. The role involves developing and implementing methodologies, designing experiments, and driving data-driven product development across various teams like Fulfillment, Consumer, Ads, Offer, and Merchant. Requires a strong quantitative background and Python/R expertise. | Agent | 5 |
| Senior Scientist, Delivery (Multiple Teams) This role focuses on applying ML, Optimization, and Causal Inference to improve Uber's delivery and marketplace performance. The scientist will develop and implement statistical methodologies, design and analyze experiments, and drive data-driven product development. The role requires experience with large datasets and Python/R, and aims to improve consumer and marketplace outcomes. | — | 5 |
| Staff Engineer - Home Feed Foundations Staff Engineer role focused on building and scaling backend services for Uber Eats' personalized feed experience, including ML-powered recommendations and dynamic ranking. | — | 5 |
| Manager II, Science - Marketplace/Membership Manager II, Science role at Uber focusing on end-to-end product development using data, analytics, modeling, and experimentation. The role involves formulating business problems, prototyping ML/optimization/causal inference models, generating data insights, and designing/analyzing experiments for Uber's mobility and logistics platforms, specifically within Delivery Marketplace and Uber One Membership teams. Requires leadership and mentoring of a team of scientists. | Ship | 5 |
| Staff Scientist, Marketplace (Multiple Teams) Staff Scientist role focused on end-to-end product development using data science, ML, optimization, and causal inference for Uber's marketplace platforms. Responsibilities include problem formulation, prototyping models, generating insights, designing and analyzing experiments, and providing thought leadership. The role emphasizes applying quantitative methods to improve marketplace efficiency, pricing, matching, and user experience across various Uber products. | Ship | 5 |
| Senior Scientist, Marketplace (Multiple Teams) This role focuses on end-to-end product development using data, analytics, modeling, and experimentation. It involves formulating business problems, prototyping ML, optimization, and causal inference models, generating data insights, and designing/analyzing experiments. The role spans various teams within Uber's mobility and logistics platforms, including Delivery Marketplace, Maps, Uber One Membership, Experimentation Platform, and Autonomous Mobility & Delivery. | Ship | 5 |
| Scientist II, Marketplace (Multiple Teams) Scientist II role focused on end-to-end product development using ML, Optimization, and Causal Inference for Uber's marketplace platforms. Responsibilities include formulating business problems, prototyping models, generating data insights, and designing/analyzing experiments. The role spans various teams like Delivery Marketplace, Maps, Uber One Membership, Experimentation Platform, and Autonomous Mobility & Delivery. | Ship | 5 |
| Software Engineer II Software Engineer II role focused on building and migrating conversational assistants (chatbots) for Uber, leveraging GenAI models and LLM prompts to enhance customer experience. The role involves owning customer-facing chatbots, leading migration from NLP to GenAI, and augmenting existing GenAI chatbots with new features. | Agent | 5 |
| Senior Staff Engineer (Backend) - Road Safety/Insurance Senior Staff Backend Engineer for Uber's Road Safety and Insurance teams, focusing on backend platforms that process telematics, sensor, and behavioral data to enhance safety. The role involves leading cross-team initiatives, designing and evolving data ingestion and processing systems, and partnering with ML/data science teams to productionize models for crash and driving behavior detection. Emphasis on scalability, reliability, and low-latency streaming pipelines. | — | 5 |
| Director, Head of Consumer, Central Operations, Delivery EMEA Director, Head of Consumer, Central Operations for Delivery in EMEA. This role involves defining and leading the consumer strategy, managing P&L and budgets, and leveraging predictive modeling and Agentic AI for cohort-based strategies. It also requires evolving analytical depth for churn prediction and influencing Product and Engineering teams. The role focuses on scaling through data excellence and driving cross-line-of-business innovation. | Agent | 5 |
| Staff Infrastructure Efficiency Analyst This role focuses on cloud cost optimization and financial accountability within Uber's cloud environments. The analyst will use data analysis, machine learning, and engineering expertise to identify and implement optimizations, improve forecasts, and drive efficient growth. Key responsibilities include analyzing cloud consumption data, tracking savings, defining performance metrics, managing reporting, and partnering with engineering teams on resource optimization and demand planning. | Data | 5 |
| Senior Account Executive, Uber AI Solutions This role is for a Senior Account Executive focused on selling Uber's AI Solutions, which include services for data collection, labeling, map editing, and AI model validation to enterprise customers. The role involves driving sales revenue, establishing go-to-market strategy, managing the sales lifecycle, and leveraging technical expertise to help customers meet their AI training data needs. | — | 5 |
| Sr Application Developer - ServiceNow Senior ServiceNow Developer role focused on building and maintaining enterprise-scale solutions, including integrating and tuning Generative AI capabilities like Now Assist. The role requires strong ServiceNow development experience, system thinking, and the ability to navigate complex technical debt and legacy systems within a fast-changing environment. | — | 5 |
| Senior Staff AI Security Engineer - (Agentic Systems) Senior Staff AI Security Engineer focused on building next-generation endpoint security platforms and services, leveraging AI to automate and scale enterprise defenses. The role involves defining technical strategy, owning architecture, and leading efforts to identify and remediate vulnerabilities. | Agent | 5 |
| Application Developer – Atlassian This role focuses on developing and scaling Atlassian-based systems (Jira, Confluence) for internal productivity at Uber. While it involves leveraging GenAI and Rovo Agents for workflow automation and integrating LLM capabilities, the core function is engineering enterprise productivity tools rather than building foundational AI models or core AI products. | — | 5 |
| Applications Developer II - ServiceNow Develop, configure, and support scalable ServiceNow solutions, leveraging Now Assist and generative AI capabilities to automate workflows and improve efficiency. Focus on ITSM, CMDB, platform capabilities, CI/CD, and integrations. | — | 5 |
| Applications Developer I - ServiceNow Platform Develop and maintain AI-powered applications and Atlassian Rovo Agents to automate tasks and augment productivity within Uber's work management stack, focusing on Jira, Confluence, and Rovo. | Agent | 5 |
| Applications Developer I - Atlassian Develop and scale Atlassian-based systems for Uber's internal productivity, leveraging GenAI and Rovo Agents to automate workflows and solve complex enterprise challenges. | — | 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 - ServiceNow HRSD Develops and supports scalable ServiceNow solutions, leveraging Now Assist and generative AI capabilities to automate workflows and improve efficiency within HRSD and other enterprise functions. | — | 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 |
| Senior Manager, Support Innovation and Growth This role focuses on integrating support strategy for driver/fleet acquisition and upgrading support experience quality across North Asian markets for Uber. It involves leveraging GenAI to optimize user, agent, and employee interactions with Uber's digital ecosystem, and potentially building/training GenAI models for daily workflows. The role is product-focused, aiming to improve customer experience and operational efficiency within the consumer domain. | Ship | 5 |
| Sr. Program Manager, Tech - Atlassian This role focuses on managing AI-enabled digitization programs within the Atlassian ecosystem at Uber. The primary responsibility is to bridge business needs with technical delivery, focusing on implementing and optimizing AI tools like Atlassian Rovo and automated workflows to enhance user operations and project planning. While the role leverages AI tools and aims to drive AI adoption, it does not involve the core craft of building AI models or agents themselves. | — | 5 |
| Application Developer – Atlassian This role focuses on developing and scaling Atlassian-based systems (Jira, Confluence) for internal productivity at Uber. While it involves leveraging GenAI and Rovo Agents for workflow automation and integrating LLM capabilities, the core function is engineering enterprise productivity tools rather than building foundational AI models or core AI products. | — | 5 |
| Scientist II - Reservations Scientist II role focused on improving the reliability, efficiency, and adoption of Uber's Reserve product by transitioning from heuristic-based decision making to building machine learning models for real-time decisions. This involves designing roadmaps, running large-scale experiments, and analyzing user behavior trends. | Ship | 5 |
| Senior Security Incident Commander This role leads critical security incidents, acting as an incident commander and technical investigator. It involves making high-stakes decisions under pressure, conducting deep technical analysis, and driving systemic remediation. The role also focuses on maturing the incident response program through simulations, threat-informed planning, and adopting new investigative techniques, including AI-assisted workflows and AI-driven tooling. | — | 5 |
| Sr. Product Manager - Consumer Fulfillment Product Manager for Uber Eats Consumer Fulfillment Quality, focusing on making orders reliable and predictable by preventing defects before they happen. This involves defining product strategy, identifying defect sources, owning consumer experience for prevention moments, partnering with Data Science and Engineering on prediction/detection/intervention systems, designing experiments, and translating insights into requirements. The role requires strong analytical and systems thinking skills, experience shipping products that improve customer experience and reliability, and familiarity with prediction or risk-scoring systems. | — | 5 |
| 2026 Mobility Strategy & Planning Fall Intern, Vanderbilt Internship role focused on supporting Uber's Mobility Strategy & Planning team by providing business insights, prioritizing initiatives, and developing recommendations for high-growth business areas. The role involves cross-functional collaboration and applying business scoping to decision-making. | — | 5 |
| Senior Applied Scientist This role focuses on applying statistical and econometric methods to measure and optimize marketing budgets, build technical tools for marketing problems (like media mix models and optimization engines), and collaborate with cross-functional teams to provide strategic insights. It involves complex data analysis and guiding marketing strategy. | — | 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 |
| Senior Software Security Engineer Senior Software Security Engineer role focused on building and operating an automated AppSec platform, including AI-driven scanning and agent-based discovery, to identify and remediate security vulnerabilities across Uber's application ecosystem. | — | 5 |
| Data Science II, InsurTech Data scientist role focused on InsurTech initiatives, applying data science and analytics to insurance, including crash reporting and claims handling. The role involves deep-dive analyses, experiment design, project leadership, and supporting the development of machine learning models to enhance platform safety. It requires collaboration with product management, safety operations, and engineering teams. | Data | 5 |
| Senior Product Manager - Autonomous Delivery Product Manager for Uber's Autonomous Delivery Experiences, focusing on the consumer journey for ordering and receiving deliveries from sidewalk robots, on-road AVs, and aerial drones. The role involves defining product vision, building trust through UX, handling unexpected scenarios, and leading cross-functional teams. | — | 5 |
| Senior Staff Engineer (Backend) - IAM Senior Staff Engineer for Uber's Identity Organization, focusing on architectural stewardship and leveraging GenAI for fraud detection and 'Identity-as-Code' to enhance security, scalability, and developer velocity across a 120+ engineer team managing global identity for millions of users. | Agent | 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 |
| Applied Scientist, Marketing Measurement This role focuses on building experiment forms, models, and processes for marketing measurement, specifically for incrementality signals that inform business decisions. It involves interpreting measurement data, building foundational models for estimation and inference, and researching experimentation best practices. The role partners with Product and Engineering to integrate models into workflows and decision-making systems. | — | 5 |
| Regional Insights Partner: APAC, Measurement Science, Uber Advertising This role is for a Regional Insights Partner at Uber Advertising, focusing on supporting APAC Sales and Marketing leadership. The role involves a blend of traditional market research and data analysis using SQL to understand consumer behavior and drive sales narratives. While the role mentions leveraging AI tools, it is not core to building AI/ML models. | — | 5 |
| Staff Scientist - Competitive Intelligence This role focuses on leveraging advanced analytical methods, including statistical modeling, causal inference, and machine learning, to derive competitive intelligence and shape business strategy. The candidate will translate complex analyses into actionable insights, collaborate with cross-functional teams, and provide technical mentorship. While the role uses ML methodologies, its primary focus is on competitive strategy and business insights rather than shipping core AI/ML products. | — | 5 |
| Regional Insights Partner: EMEA, Measurement Science, Ads This role is a strategic insights partner for Uber Advertising's EMEA Sales leadership, focusing on market trends, primary research (surveys), and leveraging SQL for data analysis. The role also involves using AI tools to scale insight generation and presenting data-backed narratives to clients and executives. While AI tools are mentioned, the core function is market research and insights, not AI model development. | — | 5 |