Uber
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 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
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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Head of EMEA Risk Operations Lead Uber's regional fraud strategy and operational execution in EMEA, focusing on deploying and operationalizing AI-enabled tools to detect, investigate, and prevent fraud. This role involves shaping product roadmaps, building systems for proactive risk posture, and navigating complex regulatory environments. | 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 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 |
| Staff Scientist Staff Applied Scientist on the Earner team at Uber, focusing on building the best platform for drivers and couriers. The role involves setting science strategy for personalization, marketplace efficiency, reliability, and experimentation guardrails. Responsibilities include designing and analyzing large-scale experiments, building statistical, optimization, and machine learning models, defining metrics and observability, leading multi-team initiatives, advancing causal inference and optimization frameworks, mentoring scientists, and communicating with leadership. Requires an M.S. or Ph.D. in a quantitative field with 8+ years of industry experience, deep expertise in statistical inference, experimental design, causal inference, machine learning, optimization, and proficiency in Python and SQL with production-minded code quality. | 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 |
| Staff Systems Engineer, AM&D Partner Integration This role is a Staff Systems Engineer focused on evaluating the safety and maturity of Autonomous Vehicle (AV) partners integrating with Uber's platform. The primary responsibility is conducting technical safety due diligence, defining assessment criteria, performing Safety Risk Assessments (SRAs), and ensuring partner systems align with Uber's safety standards. A key aspect involves applying AI/ML responsibly to enhance safety validation and risk identification, while also translating regulatory requirements into engineering solutions. The role requires deep systems engineering expertise, experience in AV safety-critical systems, and strong communication skills for external partner interactions. | Eval Gate | 5 |
| Senior Systems Engineer, AM&D Services & Products Senior Systems Engineer role focused on safety and integration of autonomous vehicle (AV) partners and Uber's own autonomous offerings. Responsibilities include defining technical safety solutions, eliciting safety requirements, developing V&V strategies, leading risk assessments, and influencing product roadmaps. The role involves evaluating and integrating AI/ML approaches for safety validation. | — | 5 |
| Engineering Manager II, AV Labs Engineering Manager II for Uber's AV Labs, focused on developing and implementing technology for self-driving stacks. The role involves defining roadmaps for long-tail AV semantics to generate high-quality real-world driving data, communicating with leadership, and hiring/managing a high-performing team. The core objective is to leverage Uber's data collection capabilities to advance autonomous technology. | Data | 5 |
| Sr. Associate, AI GTM Analytics & Insights This role focuses on building predictive models and data infrastructure for sales operations, leveraging AI tools to enhance efficiency and deliver insights. It involves data engineering, analytical modeling, and creating automated pipelines to support global sales strategies. | — | 5 |
| Technical Solution Manager – Procure to Pay (P2P) This role focuses on leading digital transformation within the Procure-to-Pay (P2P) organization by defining, implementing, and governing technical solutions, including process automation, citizen developer platforms, and Generative AI (GenAI) capabilities. The Technical Solution Manager will drive the adoption of low-code/no-code platforms and GenAI tools like Google Vertex AI Agent Builder to automate workflows and decision-making, while ensuring technical governance for user-developed applications. | Agent | 5 |
| Enterprise Applications Developer This role focuses on the development, configuration, and operational health of enterprise SaaS applications, with a specific emphasis on integrating and automating workflows using Enterprise AI applications like Gemini, ChatGPT, and Claude. The developer will act as a technical owner and escalation point for these applications, ensuring they run securely and efficiently at scale. | Agent | 5 |
| Staff Engineer - Core Infrastructure Staff Engineer on the Core Infrastructure Platform team at Uber, focusing on the architecture and evolution of systems powering Uber's global business. The role involves leading the development of backend solutions for cloud-native, secure, reliable, and hyperscale-efficient ecosystems, supporting massive compute demands for Generative AI and Autonomous Vehicle data. Responsibilities include architectural evolution, driving efficiency, modernizing for multi-cloud, integrating AIOps & Automation, championing security, and influencing cross-functional teams to support large-scale AI/ML workloads. | Serve | 5 |
| Sr Staff Engineer - Core Infrastructure Senior Staff Engineer to lead the technical strategy and evolution of Uber’s Core Infrastructure Platform, focusing on compute, foundations, and software networking. The role involves architecting for extreme scale, optimizing fleet utilization, scaling GPU pools for Generative AI, modernizing the data plane, and integrating AI-driven automation (AIOps) into the infrastructure. | ServeAgent | 5 |
| Staff Software Engineer : Storage, Search, & Data Platforms Staff Engineer role focused on architecting and evolving Uber's data platforms to support a "Data-to-AI" future. This involves defining the technical vision for cloud-native data ecosystems, designing "Data-to-GPU" pipelines, and optimizing storage APIs for AI researchers. The role requires deep distributed systems expertise and leadership in open-source data technologies. | Data | 5 |
| Engineering Manager II, Ranking and Recommendations, Grocery and Retail Engineering Manager for Uber's Grocery & Retail Consumer Ranking Team, focusing on leading the evolution of the online ranking architecture and high-throughput serving stack. The role involves building the engine for seamless shopping experiences, optimizing for latency, cost, and availability, and partnering with Data Science and ML Engineering to integrate state-of-the-art models into a production environment at scale. Responsibilities include leading backend and ML engineers, owning the roadmap, driving reliability and performance, evolving data flow, setting technical vision for ranking infra, and scaling experimentation capabilities. | Agent | 5 |
| Sr Software Engineer, Backend (AV and AI) Senior Software Engineer to build high-scale, AI/ML-powered customer engagement experiences for Uber's Customer Obsession team, with a focus on Autonomous Vehicle (AV) programs. The role involves architecting and building scalable, fault-tolerant systems, applying ML/AI to improve self-service and agent-assisted experiences, and owning critical systems end-to-end. | Ship | 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 |