Uber
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.
Consumer · Rideshare
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 |
| Staff Machine Learning Engineer - AV Labs Staff ML Engineer at Uber's AV Labs focused on Physical AI, developing advanced autonomy algorithms and models to add semantics to driving data. The role involves leading the technical roadmap for ML systems, designing large-scale ML systems, mentoring engineers, and evolving ML infrastructure for autonomous driving. |
| Data |
| 9 |
| Director, Engineering - AV Labs Director of Engineering role focused on leading the development of AI models, algorithms, and semantic engines for Uber's autonomous vehicle data capabilities. The role involves building advanced AI foundation models and scalable algorithms that process multi-modal sensor data to enrich L4 data and evaluation engines for autonomous driving. | DataAgent | 9 |
| Senior Staff Machine Learning Engineer – Moonshot AI Senior Staff ML Engineer for Uber's Moonshot AI team, focusing on building an enterprise AI data platform. Responsibilities include marketplace optimization, custom model development for annotation workflows (audio, video, text), automated quality evaluation using GenAI/LLM-as-Judge, and ML research. The role involves end-to-end ownership from research to production, technical leadership, and mentoring. | AgentPost-train | 9 |
| Principal Machine Learning Engineer - AV Labs Principal ML Engineer for Uber's AV Labs, focusing on Physical AI. The role involves building advanced autonomy algorithms and models to add semantics to driving data, enabling better data mining, scene understanding, and causal modeling of vehicle behavior. The primary focus is on enriching L4 data for an evaluation engine, with a secondary focus on agentic systems. | DataAgent | 9 |
| Senior Applied Scientist – AI Red Teaming & Model Risk This role focuses on AI Red Teaming and Model Risk for LLMs and agentic AI systems. The scientist will design and execute experiments to uncover unsafe or harmful behaviors, develop evaluation frameworks, and define risk metrics beyond standard accuracy. They will analyze agent workflows and collaborate with security and platform teams to implement guardrails and mitigations. The role requires experience with LLMs, adversarial evaluation, and analyzing complex model behavior. | Eval GateAgent | 9 |
| Program Lead: Product Operations - AI Observability This role focuses on establishing and implementing frameworks for monitoring, understanding, and improving Uber's GenAI-powered agentic systems. It involves defining methodologies for agentic reasoning observability, developing automated evaluation systems, and designing simulators to test AI performance. The goal is to translate complex agent behaviors into actionable insights and metrics to ensure accuracy, safety, and reliability. | AgentEval Gate | 8 |
| Senior Product Manager, Generative AI Product Manager for Generative AI at Uber, focusing on building user-facing AI-driven experiences across various product lines like recommendations, customer support, and coding copilots. The role involves crafting and executing Gen AI products, translating user needs into features, and understanding AI trends to inform the roadmap. Requires strong technical product management experience, preferably with Gen AI applications or agentic systems, and a background in ML or data science. | ShipAgent | 8 |
| Software Engineer II - AV Labs Software Engineer II for Uber's AV Labs, focusing on Physical AI to build autonomy algorithms for enriching autonomous driving data. Responsibilities include algorithm development for semantic meaning extraction, system design for onboard systems, and defining requirements for evaluation datasets. | DataAgent | 8 |
| Senior Engineering Manager, AV Labs Senior Engineering Manager for Uber's AV Labs, leading a team focused on AI models and behavioral causality for autonomous driving data. The role involves building and managing ML engineers and researchers to develop foundation models for complex urban edge cases, enriching L4 data lake with semantic meaning from multi-modal sensor data, and contributing to the L4 data and evaluation engine. | AgentEval Gate | 8 |
| Staff AI Security Engineer - (Agentic Systems) Uber is seeking a Staff Security Engineer to join the Cyber Defense team, focusing on developing next-generation security platforms that leverage AI/ML/GenAI. The role involves architecting and implementing an AI-orchestrated attack platform and autonomous security agents for threat hunting and incident response, as well as defining secure environments for AI model development. The position requires strong software engineering and distributed systems expertise, with a focus on building scalable, high-availability security solutions. | Agent | 8 |
| Senior Machine Learning Engineer – AV Labs Senior ML Engineer at Uber's AV Labs focused on Physical AI, developing autonomy algorithms and models to add semantics to driving data, enrich L4 data lake, and optimize datasets for ML technologies in the autonomous driving domain. | DataAgent | 8 |
| Senior Product Manager, AI platform (Michelangelo) Product Manager for Uber's AI platform (Michelangelo), focusing on building, deploying, and managing classic ML and Generative AI/Agentic applications at scale. The role involves defining vision, strategy, and roadmap for critical platform components, driving adoption, and working closely with ML engineers, applied scientists, and data scientists. | ShipAgent | 8 |
| 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 |
| Security Engineer (AI & Agentic Systems) Uber is seeking an AI Red Team Engineer to identify and mitigate security risks in AI systems, particularly agentic and autonomous AI. The role involves designing and executing adversarial red-teaming exercises, analyzing agent workflows, and collaborating with AI teams to implement defenses. This is an offensive security role focused on AI-native vulnerabilities. | Agent | 8 |
| Machine Learning Engineer II– Ranking & Recommendations Machine Learning Engineer II focused on building and deploying ML models for ranking and recommendation systems within Uber's shopping domain. The role involves developing ML models, productionizing them for real-world applications, and collaborating with product teams. Requires experience in ML model development, deployment, and big-data architecture. | Ship | 8 |
| Software Engineer II - Machine Learning Uber is seeking a Senior ML Engineer to build and scale an autonomous support agent for customer service. The role involves LLM orchestration, evaluation, safety guardrails, and ensuring reliability and cost efficiency in production systems handling millions of conversations. The engineer will also advance retrieval and reasoning pipelines and establish evaluation frameworks. | AgentEval Gate | 8 |
| Sr. Staff Engineer (Conversational/Voice AI) Senior Staff Engineer to architect, productionize, and scale an autonomous support agent for Uber's Customer Obsession team, focusing on mobile, web, and voice channels. The role involves end-to-end agent architecture, shipping production systems with high reliability, leading voice agent initiatives, advancing retrieval and reasoning pipelines, establishing evaluation frameworks, driving automation, and mentoring engineers. | AgentServe | 8 |
| Principal Engineer - AI Tools Principal Engineer to lead the strategy and architecture of AI-powered developer tools at Uber, impacting thousands of engineers across the entire software development lifecycle. The role involves designing and implementing novel systems using LLMs and ML to improve developer velocity, code quality, and enable new agentic AI features. | Agent | 8 |
| Sr Staff ML Engineer - Applied AI The Applied AI team at Uber is seeking a Sr Staff ML Engineer to define the multi-year technical vision and architecture for foundation models powering discovery experiences across Mobility and Delivery. This role will focus on building a common semantic backbone for understanding users, places, merchants, items, and behavioral patterns, which will power personalization, search, agents, automation, and decision systems. The engineer will set long-term technical direction, drive alignment on strategy, and deliver measurable impact at global scale. | Post-trainAgent | 8 |
| Staff Machine Learning Engineer - Applied AI Staff ML Engineer to define and lead the foundation model strategy for AI-native discovery experiences across Uber's Mobility and Delivery platforms, focusing on Search, Recommendations, and Conversational AI. The role involves end-to-end technical strategy, architecture decisions, leading cross-team initiatives, defining investment areas (build vs fine-tune vs partner), and mentoring senior engineers. | Agent | 8 |
| Solutions Architect, Uber AI Solutions This role is a Solutions Architect within Uber AI Solutions, focusing on pre-sales and technical wins for enterprise clients in Autonomous Systems, Robotics, and Generative AI. The role involves architecting and prototyping AI data solutions, translating customer needs into technical blueprints, and providing feedback to influence the product roadmap. It requires a strong understanding of the AI lifecycle and cross-functional delivery. | Agent | 7 |
| Machine Learning Engineer ML Engineer role focused on building and deploying ML models for dynamic, risk-adaptive security systems within Uber's Zero Trust Architecture. The role involves framing security problems as ML tasks, engineering features, deploying ML pipelines, and integrating ML into authentication and authorization systems, with a focus on securing humans and AI agents. | Agent | 7 |
| Senior Software Engineer – AV Labs Senior Software Engineer for Uber's AV Labs, focusing on Physical AI to build autonomy algorithms for data mining, scene understanding, and causal modeling of ego vehicle behavior using real-world driving data. Requires C++ and Linux proficiency, with preferred experience in Autonomous Driving, safety-critical systems, and Python. | Data | 7 |
| Senior Product Manager — Grocery Fulfillment Optimization. Senior Product Manager for Uber Grocery Fulfillment Optimization, owning systems and decision logic for last-mile order fulfillment. The role focuses on marketplace algorithms, real-world logistics, and customer trust, involving dynamic adaptation to supply, demand, and failure modes. It requires deep partnership with Data Science to design matching, batching, and recovery systems, focusing on reliability, cost-effectiveness, and customer/earner experience. The role also involves designing resilient fulfillment systems, translating operational complexity into product requirements, and shifting fulfillment from reactive to proactive. | Agent | 7 |
| Senior Product Manager, Applied AI Product Manager for Uber's Core Personalization team, focusing on driving AI-driven product experiences and building the foundation personalization layer across business verticals. Requires strong technical background in AI/ML and GenAI, and experience delivering AI products at scale. | 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 |
| 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 |
| 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 |
| 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 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 |
| 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 |
| 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 |
| Senior Software Engineer Senior Software Engineer role focused on developing and operating security services and frameworks using ML/GenAI techniques to protect Uber's products and platforms. Responsibilities include building ML-powered security systems, developing backend infrastructure and ETL pipelines, and productionizing ML models for security use cases. | Serve | 7 |
| Conversion 2026 PhD Software Engineer II, United States ML Engineer role focused on building and deploying ML models for risk-adaptive, real-time security decisions within Uber's Zero Trust Architecture. The role involves framing security problems as ML tasks, feature engineering, model development, and production deployment. | Agent | 7 |
| Senior Product Manager, Earner Intelligence Product Manager for Earner Intelligence at Uber, focusing on building ML products and platforms for efficient growth and user experience optimization for drivers and couriers. The role involves owning the product roadmap, defining strategy, and working with ML techniques like causal ML, supervised ML, multi-armed bandits, genAI LLM, and deep learning embeddings. Key responsibilities include understanding earner behavior, designing recommendation engines and matching algorithms, and driving the execution of ML-based projects from data collection to model training and observability. | ShipAgent | 7 |
| Senior Manager, Solutions Architecture Seeking a Solutions Architect Manager to lead pre-sales engagements and define product roadmaps for Uber AI Solutions, focusing on enterprise AI data journeys in areas like Autonomous Systems, Robotics, and Generative AI. The role involves building a new Solutions Architecture function, mentoring a team, and ensuring margin-positive solutions from data to impact. | Agent | 7 |
| Senior Machine Learning Engineer – Ranking & Recommendations (Generative AI) Senior Machine Learning Engineer role focused on building and productionizing Generative AI-powered ranking and recommendation systems for Uber's shopping platform. Requires strong ML experience, productionization skills, and expertise in big-data architecture and ML technologies. | ShipServe | 7 |
| Senior Software Engineer, Uber AI Solutions Senior Software Engineer to lead platform architecture for Uber AI Solutions, focusing on building foundational model data infrastructure that integrates human expertise with ML to produce high-quality, model-ready datasets for multimodal and real-world AI use cases. | Data | 7 |
| Senior Machine Learning Engineer - Ads Uber's Ads ML team is seeking a Senior Machine Learning Engineer to optimize ad recommendations and auction mechanisms within their ecosystem. The role involves designing and implementing ML models, developing scalable ML pipelines, applying advanced ML techniques for targeting and delivery, and collaborating with cross-functional teams. The goal is to enhance user engagement and merchant benefits through data-driven insights and robust ML solutions, directly impacting Uber's growing Ads business strategy. | Ship | 7 |
| Manager II, Science - Delivery Manager II, Science for Uber Ads & Offers team, focusing on Ads Delivery & Optimization. This role involves leading a team of scientists to design and implement algorithms for Ads relevance, ranking, bidding, and pacing, driving strategic vision and execution for the Ads delivery product. Requires experience in Ad tech or marketplace industries and building Ads systems. | Ship | 7 |