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 |
|---|---|---|
| Security Engineer II - Threat Modeling & AI Security Engineer focused on red teaming AI agents and developer tools, identifying vulnerabilities, and driving mitigation efforts. The role involves translating AI security standards into controls, scaling testing with automation, and communicating risk to stakeholders. | Agent | 7 |
| Privacy Technologist II - AI This role involves performing technical privacy reviews of engineering design documents, managing anonymization pipelines, and evaluating/improving AI-powered review tooling. The focus is on driving the privacy aspects of AI automation and ensuring safe handling of sensitive data within AI systems, particularly agentic AI and GenAI. | Agent | 7 |
| Lead, Data Governance & AI Readiness |
| DataAgent |
| 7 |
| Staff Scientist, Rider Personalization The role focuses on rider personalization and ranking systems, implying the development and deployment of AI/ML models to improve user experience and engagement within Uber's consumer platform. | Ship | 7 |
| Sr Applied Scientist Senior Applied Scientist at Uber to build and deploy ML/AI solutions in production, taking ideas from concept to real-world systems. The role involves end-to-end work from problem definition to production integration, focusing on classification, prediction, anomaly detection, and risk scoring. It also includes improving the reliability and robustness of AI systems, including LLM-based applications, and applying model adaptation techniques like fine-tuning. | ShipServe | 7 |
| Staff Software Engineer Staff Software Engineer to lead the design and development of systems at the intersection of Security and AI, focusing on proactive detection, prevention, and response to security and privacy risks. The role involves owning critical architecture, driving complex initiatives, and setting engineering standards, with a focus on leveraging ML/AI techniques to improve security signal quality and scale detection capabilities. | Agent | 7 |
| Engineering Manager II - AI & Security Engineering Manager II to lead a team at the intersection of Security and AI. The team builds systems that proactively detect, prevent, and respond to security and privacy risks across Uber's platform. The role involves defining strategy, scaling systems, and leading a multidisciplinary team of engineers and applied scientists to secure modern application stacks, data systems, and emerging AI-powered products. Key responsibilities include leading and growing the team, defining the roadmap for security and AI-driven systems, building intelligent systems for risk automation, securing AI-powered applications against threats, partnering with other teams to embed security controls, and scaling systems to improve security posture. | Agent | 7 |
| Senior Scientist, Matching The role focuses on algorithmic decisions, experimentation, measurement, and data strategy for Uber's global airports, specifically within the Matching group. The primary responsibility is to build systems that determine the optimal way to fulfill trips by deciding which earners to send offers to and when. This involves developing data-driven insights, designing and analyzing experiments, and contributing to the development of optimization algorithms and ML models for mobility matching at Uber's scale. | Ship | 7 |
| Staff Software Engineer Staff Software Engineer with advanced ML expertise to join the Data Governance team within Engineering Security. Responsible for designing, developing, and managing distributed systems to protect large-scale data infrastructure, specifically focusing on detecting and addressing data security threats related to AI agents. This role involves building user-facing products, managing high-throughput systems, and developing intelligent fraud prevention strategies using AI and Data Security techniques, with a technical leadership component. | Agent | 7 |
| Scientist II - Reservations Scientist II role focused on improving the Reserve product by transitioning from heuristic-based decision making to building machine learning models for real-time decisions, enhancing driver and rider experience, and piloting new use cases. The role involves designing roadmaps, running large-scale experiments, and analyzing business/user behavior trends. | Ship | 7 |
| Software Engineer II - Michelangelo Software Engineer II on Uber's ML Training team, responsible for designing and building core components of large-scale distributed training systems for multi-GPU/TPU environments within the Michelangelo AI platform. Focuses on ML infrastructure and enabling efficient, reliable, and scalable model development. | Pretrain | 7 |
| Staff Scientist, Rider Booking Experience This role focuses on building and evaluating AI booking agents and related ML systems for Uber's core mobility business. It involves designing experiments, developing models, and analyzing user behavior to improve the rider experience and drive growth. The role also includes shaping strategic vision, establishing metrics, and leading cross-functional initiatives. | Agent | 7 |
| Staff Scientist - Reservations The Reservations data science team at Uber is seeking a Staff Scientist to own the experience and algorithms powering the Uber Reserve Product. This role involves optimizing user experience, matching, dispatch, and pricing algorithms by transitioning from heuristic-based decision making to building and deploying machine learning models. The focus is on driving efficiency, improving unit economics, and increasing adoption and growth through data science methodologies, causal inference, large-scale experiments, and presenting findings to executive audiences. The role requires strong programming skills, MLOps practices, and experience in experimental design and analysis. | Ship | 7 |
| Staff Data Scientist (Fraud, Risk) Uber is seeking a Staff Data Scientist for their Global Safety & Risk Team in Sao Paulo, Brazil. The role focuses on applying data analysis, machine learning, and statistical modeling to identify and prevent safety incidents. Key responsibilities include analyzing imbalanced datasets, designing and implementing binary classification models, generating insights from risk data, conducting complex experiments (Diff-in-Diff, Synthetic Controls), and defining success metrics. The role requires experience in building and deploying binary classification systems for high-stakes applications, experimental design beyond A/B testing, handling extreme class imbalance, and proficiency in Python and SQL. Experience with geospatial data analysis and real-time inference systems is preferred. | Ship | 7 |
| Senior Localization Program Manager, Multilingual AI This role focuses on building and scaling end-to-end localization workflows that integrate ML/LLM systems into Uber's global platform. It involves evaluating and operationalizing MT and LLM solutions, partnering with Engineering and MLOps to translate experimental AI into production-grade systems, and driving continuous improvement through quality frameworks. | AgentServe | 7 |
| Software Engineer II Software Engineer II at Uber focused on designing, building, and productionizing Machine Learning models and optimization engines. The role involves developing ML systems, improving model performance, and delivering business impact through algorithmic solutions in a production environment. | ServeData | 7 |
| Software Engineer II Software Engineer II role at Uber focused on designing, building, and operating end-to-end features for the AdTech tech stack. This involves creating scalable data pipelines using big data technologies, optimizing ad spend through experimentation, and productionizing ML models. The role requires collaboration with cross-functional teams and leveraging internal Uber technologies like Michelangelo (ML) and Piper (Data orchestrator). | ServeData | 7 |
| Principal Engineer - Evaluation & Simulation This role focuses on building and scaling large-scale simulation platforms for autonomous vehicle (AV) testing and validation. It involves designing high-fidelity simulation frameworks, integrating sensor data and behavioral models, defining evaluation metrics, and generating edge-case scenarios. The goal is to accelerate AI research and ensure safety benchmarking for AVs. | Eval GateAgent | 7 |
| Agentic GTM Lead This role focuses on driving AI-powered sales execution by identifying, designing, and testing AI-led workflows to improve seller productivity and merchant outcomes. It involves early-stage experimentation and validation of agentic, automated commercial systems, partnering with Product and Engineering, and evaluating AI tools. | Agent | 7 |
| Sr. Applied Scientist, Road Safety This role focuses on building and evaluating models to predict and mitigate road safety risks using telematics and other data. It involves designing and executing experiments to test the effectiveness of these models and evaluations, working cross-functionally with product and operations teams. | AgentEval Gate | 7 |
| Data Scientist II, Tech Develop and improve GenAI-powered AI agents for customer personas, applying ML, causal inference, and experimentation to drive business impact. Collaborate with engineering and stakeholders, ensuring data quality and communicating insights. | Agent | 7 |
| Senior Machine Learning Engineer, Rider (Multiple Teams) Senior Machine Learning Engineer role focused on personalizing the Uber rider experience through ML models for product recommendations and merchandising. The role involves defining and driving ML solutions, providing technical leadership, and improving ML engineering best practices. It requires experience with ML frameworks, data pipelines, and applying ML to real-world problems like recommender systems. | ShipAgent | 7 |
| Staff Machine Learning Engineer - Rider Intelligence Staff ML Engineer at Uber focused on Rider Intelligence, responsible for defining and executing technical strategies, leading the design, development, and production of end-to-end ML solutions for large-scale distributed systems, and mentoring a team of MLEs. Requires significant experience in ML model deployment and expertise in areas like search, recommendation systems, and ranking. | Ship | 7 |
| Software Engineer I Software Engineer I role at Uber focused on building a GenAI Bot for customer support, involving design, development, and testing of software applications, with a focus on integrating AI components into the existing system. | Agent | 7 |
| Scientist II, Tech Scientist II role focused on developing and analyzing ML models and optimization algorithms for Uber's mobility matching system, involving experimental design, causal inference, and large-scale data analysis to improve trip fulfillment and ETAs. | Agent | 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 Software Engineer, Uber Direct This role focuses on building AI-driven software factories to automate engineering work by orchestrating agents and workflows using LLMs and CLIs. It also involves designing prompting and validation loops for AI-generated output within the Uber Direct Logistics team. | Agent | 7 |
| Senior Product Manager, AV Labs Product Manager for Uber's AV Labs, focusing on developing platforms and systems to generate high-quality autonomous driving data from real-world operations. The role involves defining product requirements, driving execution, and working with engineering, science, and operations teams to accelerate AV capabilities, particularly in areas like machine learning and semantic understanding. | Agent | 7 |
| Group Product Manager, AV Labs Group Product Manager for Uber's AV Labs, focusing on defining product strategy and roadmaps for technical domains including machine learning and data/validation platforms to accelerate the autonomous technology ecosystem. This role involves translating business goals into product direction, partnering with cross-functional teams, and influencing executive stakeholders. | DataPost-train | 7 |
| Engineering Manager II, Evaluation & Simulation - AV Labs Engineering Manager II for Uber's AV Labs, focusing on defining the roadmap, metrics, and technical architecture for autonomous vehicle evaluation and simulation. The role involves building platforms to leverage real-world driving data for AV development and managing a team to achieve high technical excellence in this domain. | Eval Gate | 7 |
| Engineering Manager, Shopping Ranking & Personalization Engineering Manager for Uber Eats Shopping Ranking & Personalization team, responsible for leading a team that powers personalized content and ranking across Storefront, Cart, and Checkout. Owns both user-facing personalization strategy and the underlying ranking platform, including scoring and serving decisions at scale. Partners with Data Science and MLE teams to productionize Deep Learning, GenAI, and embedding-based models. Focuses on building scalable platforms and architectural foundations for ranking and personalization surfaces. | ShipServe | 7 |
| 2026 PhD Software Engineering Internship, Security, Amsterdam PhD internship focused on AI-first security, researching and implementing AI agents to interact with security platforms, building models for identity risk assessment, and developing LLM-driven layers for vulnerability prioritization within Uber's production ecosystem. | Agent | 7 |
| Manager II, Science - Earner (Economics) Manager II, Science - Earner (Economics) at Uber. This role involves leading a team of scientists to develop and implement ML solutions for enhancing the earner experience, refining ambiguous questions, developing experimental designs, and ensuring data governance. The focus is on complex product and lifecycle analysis, experimentation, measurement foundations, and modeling within the earner journey. | Post-train | 7 |
| Sr Software Engineer (Backend) - GenAI Senior Software Engineer to build and scale an AI-powered customer engagement platform using LLM prompting and backend services to deliver conversational assistants for millions of users. | Agent | 7 |
| Staff Software Engineer, Backend Staff Software Engineer to define and scale Uber's AI-powered customer engagement platform, focusing on conversational assistants. This role involves setting technical vision, leading initiatives for GenAI assistants, owning platform components like orchestration and guardrails, and driving cross-org alignment for production-ready implementations at scale. Requires expertise in large-scale distributed systems and experience with GenAI/LLM systems in production. | Agent | 7 |
| Staff Machine Learning Engineer – Ranking & Recommendations (Generative AI) Uber is seeking a Staff Machine Learning Engineer to design, build, and productionize ML models for ranking and recommendation systems, with a focus on Generative AI. The role involves working across the ML lifecycle, from infrastructure to model development and deployment, and collaborating with product teams. | Ship | 7 |
| Staff Software Engineer Staff Software Engineer role focused on developing and operating security services and frameworks using ML/GenAI for Uber's products and platforms. Responsibilities include building ML-powered security systems for detection, classification, and risk scoring, developing backend infrastructure and ETL pipelines for security analytics, and productionizing ML models for security use cases. Requires experience with distributed systems, machine learning, and Golang/SQL/Python. | AgentData | 7 |
| Data Scientist II, Identity This role focuses on applying machine learning and statistical modeling to identify and mitigate platform fraud, specifically related to user identity, to ensure platform trust and security. The Data Scientist will collaborate with product and engineering teams to develop and deploy anti-fraud strategies and reporting functions. | Ship | 7 |
| Senior Software Engineer - Dynamic Pricing Senior Software Engineer role focused on building and productionizing scalable real-time ML systems for dynamic pricing and marketplace optimization at Uber. Requires expertise in deep learning, optimization algorithms, and ML frameworks, with a focus on data and experiment-driven model development. | ServePost-train | 7 |
| AI Knowledge Architect This role focuses on building and maintaining the knowledge base for customer-facing AI agents, ensuring they provide accurate and empathetic responses. It involves authoring prompt-aware content, structuring information for AI reasoning, tuning AI performance, and collaborating with product and engineering teams. The role requires a blend of technical writing, UX design, and prompt engineering skills, with a focus on optimizing retrieval accuracy and AI response patterns. | Agent | 7 |
| Sr Software Engineer - AV Data Quality, AV Labs This role focuses on building the data integrity layer for an L4 autonomous driving data platform, validating and safeguarding the quality of multi-modal sensor streams. It bridges raw robotics telemetry and downstream machine learning, ensuring systems learn from ground truth. | Data | 7 |
| 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 |
| 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 |
| Staff Machine Learning Engineer Staff Machine Learning Engineer at Uber Marketplace focused on optimizing rider & driver matching using optimization, machine learning, and causal inference. The role involves building scalable ML libraries and systems, improving the ML Platform ecosystem, and collaborating with the ML community. Requires PhD or equivalent, 5+ years of experience, and proficiency in modern ML algorithms and frameworks. | Serve | 7 |
| Director, Tech Transformation, Field Operations Director of Tech Transformation for Field Operations at Uber, focusing on integrating GenAI and automation into global customer service operations. The role involves co-developing and executing a technology roadmap, driving adoption of AI-powered solutions like agent assist (summarization, translation), redesigning workflows for AI integration, and leading automation initiatives to improve productivity, quality, and cost-efficiency. The goal is to transform FieldOps into a model tech-enabled organization by embedding technology into the operating model and fostering a culture of tech-first problem-solving. | Agent | 7 |
| Senior Scientist, Fares This role focuses on building ML models and AI agents for Uber's fares platform, which processes over $190B in gross bookings annually. The scientist will leverage experiment design, causal inference, and optimization techniques to solve problems in pricing, policy design, and defect reduction, influencing product strategy and automating data science workflows. | Agent | 7 |
| Machine Learning Engineer II Machine Learning Engineer II at UberEats Feed, focusing on building and productionizing state-of-the-art recommendation models and large-scale ML systems. The role involves improving model quality, serving foundations, and data foundations for the UberEats Feed, which is the front door for users and merchants. Requires expertise in deep learning, recommendation systems, or optimization algorithms, and experience with ML frameworks and productionizing ML systems. | AgentServe | 7 |
| Software Engineer II ML, Merchant Intel 8 Software Engineer II ML on the Merchant Intelligence team at Uber Eats, focusing on building and productionizing ML models and scalable ML pipelines for merchant data processing, entity resolution, and feature engineering. The role involves improving data quality and serving critical use cases like sales outreach, onboarding, ads, and feed optimization. | AgentData | 7 |
| Machine Learning Engineer II Machine Learning Engineer II at UberEats Feed, focusing on innovating and productionizing state-of-the-art recommendation models and building end-to-end large-scale ML systems for the HomeFeed Recommendation. The role involves improving ML quality, model serving, and data foundations. | Ship | 7 |
| Senior AI/ML Engineer This role focuses on developing and productionizing AI/ML models for Uber's core security engineering, specifically in access management, identity, and authorization. The engineer will translate security needs into AI-first solutions, integrate ML systems, and mentor junior engineers. Requires strong experience in ML model development, productionization, and familiarity with security contexts. | Agent | 7 |