Uber
Consumer · Rideshare
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.
Consumer · Rideshare
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 |
|---|---|---|
| Operations Lead, Scaled Solutions for Uber Internal Programs This role leads operations for a proprietary supply channel within Uber AI Solutions, focusing on scaling programs for internal solutions and external enterprises. The goal is to establish leadership in the AI training space by managing operations, defining go-to-market plans, advising product teams, and ensuring cross-functional alignment for safety and reliability. The role involves tracking metrics and scaling the channel internationally. | — | 5 |
| Senior Scientist, Rider Experience This role focuses on optimizing the rider experience and driving growth in Uber's mobility business through data analysis, experimentation, and ML modeling. The scientist will develop AI systems to understand metric trends, optimize conversion funnels, and create personalized features and pricing models for riders. | Ship |
| 5 |
| Senior Strategic Operations Associate, Global Airports Marketplace This role focuses on optimizing Uber's marketplace at airports globally, using data to diagnose issues, evaluate changes, and improve reliability, conversion, and driver earnings. It involves cross-functional collaboration with operations, product, and engineering teams, and strengthening data foundations for airport performance reporting. | — | 5 |
| Staff Scientist, Airports and Travel Staff Scientist role focused on identifying and solving complex business problems within the Airports and Travel segment at Uber. The role involves strategic problem finding, leading end-to-end data-driven solutions, advanced experimentation, defining business metrics, and influencing senior leadership. While the role mentions using AI/Agentic tools as a preferred qualification, its core function is not AI/ML development but rather applying data science and experimentation to business challenges. | — | 5 |
| Manager, People Solutions & Knowledge This role focuses on optimizing employee experience with HR services through ServiceNow and AI-enabled self-service. The candidate will define strategy for leveraging ServiceNow, establish global knowledge standards for AI readiness, and drive AI-enabled initiatives like virtual agents and automated triage to enhance digital employee experience. The role also involves platform governance and ensuring compliance. | — | 5 |
| Global DSC Operations Lead This role focuses on building and operating the infrastructure for Uber's Digital Sales Center (DSC), standardizing global operations, performance measurement, pipeline design, tooling, and automation. It involves partnering with Product and Engineering to scale AI-driven solutions within CRM workflows to improve seller productivity and reduce cost per acquisition. | — | 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 |
| Regional Operations Manager This role is for a Regional Operations Manager at Uber, focusing on the Matching and Trip Radar systems in Latin America. The manager will analyze marketplace failures, review and recommend experiments for matching algorithms, lead local launches, build automation frameworks, and collaborate closely with Product and Engineering teams. The role requires strong analytical, technical fluency, and stakeholder management skills, with 5-7 years of experience. | — | 5 |
| Product Manager II, Help Center Platform Product Manager for Uber's AI-powered conversational support surfaces, focusing on the developer and user experience of the foundational platform and UX component library for AI assistants. The role involves building infrastructure for cross-functional teams to contribute to a shared UX library, ensuring cohesive and adaptable AI assistants. Responsibilities include roadmap contribution, customer experience advocacy, building platform foundations, driving developer adoption of agentic UX libraries, data-driven impact analysis, and executive communication. | Agent | 5 |
| Engineering Manager II Engineering Manager II to lead the Machine Learning Platform (Michelangelo) team at Uber, focusing on building and managing robust distributed systems and infrastructure for AI/ML capabilities. The role involves driving technical alignment, roadmap execution, and growing a team of engineers. | Serve | 5 |
| Senior Growth Strategy Manager, Uber Direct This role is for a Senior Growth Strategy Manager at Uber Direct, focusing on driving long-term commercial relationships with restaurants in the UK. The responsibilities include developing growth plans, managing P&L, optimizing operations and commercials, performing data analysis, and piloting new strategic initiatives. The role requires strong analytical skills, commercial acumen, communication, project management, and stakeholder management abilities. While the role mentions comfort with AI tools, its core function is business growth and strategy, not AI/ML development. | — | 5 |
| Senior Customer Operations Leader, Autonomous Vehicles This role leads real-time Autonomous Vehicle (AV) support operations, managing a large team and focusing on scaling operations through tooling, technology, and automation. It involves partnering with tech teams to improve workflows, systems, and decision-making, with a focus on future AI adoption and translating frontline signals into product and operational improvements. | — | 5 |
| Strategic Operations Manager - Account Integrity This role focuses on account integrity within Uber's Safety & Identity Operations, involving identity verification, fraud detection, and risk mitigation. The manager will own problem discovery, root cause analysis, and develop solutions to strengthen platform integrity. Key responsibilities include analyzing data, improving policies/processes, partnering cross-functionally, designing detection signals, leveraging AI tools for efficiency, and building reporting. The role requires strong analytical and problem-solving skills, with experience in fraud/risk/identity problems and leveraging AI tools being preferred. | — | 5 |
| Senior Software Engineer - Data Storage Uber's Data Storage team is seeking a Senior Software Engineer to work on its large-scale data lake, serving batch analytics, streaming processing, and AI/ML workloads. The role involves learning big data infrastructure, fine-tuning systems for performance and reliability, innovating cloud usage, and leveraging Uber's Agents platform. Candidates should have strong engineering skills in distributed systems or machine learning systems, with experience in languages like Python, Rust, Go, or Java. Experience with AI/ML frameworks and large-scale AI infrastructure is preferred. | — | 5 |
| Junior Data Scientist Junior Data Scientist role focusing on foundational data science principles including Machine Learning, Experimentation, Statistical Modeling, and Causal Inference. Responsibilities include data collection, cleaning, analysis, predictive modeling, and communicating findings. The role involves translating business questions into testable hypotheses and experimental designs, or mathematical models and ML algorithms, with an emphasis on iterative delivery and best practices in code and analysis. Projects may involve Market Expansion, Market Health, Audits, and Document Processing using NLP/OCR. | Data | 5 |
| Lead Product Manager, AV Labs Lead Product Manager for Uber's AV Labs, focusing on building platforms to unlock real-world, long-tail driving data for autonomous vehicles. The role involves owning product strategy, roadmap, and execution for core AV Labs domains including machine learning and data platforms, translating technical goals into product requirements, and partnering closely with engineering and science teams. | Agent | 5 |
| Applications Developer I _Enterprise Application This role is for an Applications Developer Engineer focused on the operational health, configuration, and lifecycle of Uber's core enterprise SaaS applications. The role involves managing application configurations, access, integrations, and automation, acting as a Super Admin, and resolving complex escalated issues. A key responsibility is designing and implementing automation and integration workflows using JavaScript, Python, APIs, and Enterprise AI applications like Gemini, ChatGPT, and Claude to reduce manual effort and improve reliability. The role requires strong programming skills in Python, JavaScript, Java, and SQL, and knowledge of databases like BigQuery and Apache Hive. | Agent | 5 |
| Enterprise Applications Developer This role is for an Enterprise Applications Developer Engineer responsible for the operational health, configuration, and lifecycle of core enterprise SaaS applications at Uber. The role involves managing applications, resolving complex issues, leading incident response, and designing/implementing automation and integrations using various programming languages and Enterprise AI applications. The candidate will act as a primary technical owner and Super Admin for applications like Google Workspace, Zoom, Slack, and others, bridging IT Engineering, Service Desk, Security, and Business stakeholders. | — | 5 |
| 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 |
| Enterprise Application Developer This role focuses on developing and owning enterprise SaaS applications, including managing configurations, access, integrations, and lifecycle. A key responsibility is designing and implementing automation and integration workflows using JavaScript, Python, APIs, and Enterprise AI applications (Gemini, ChatGPT, Claude, Claude Code, MCP) to improve reliability and reduce manual effort. The role also involves acting as a Super Admin, leading incident response, and resolving complex escalated application issues. | Agent | 5 |
| Manager, Analytics - Financial Operations Manager for Uber's Financial Operations Analytics team, focusing on leveraging AI and data analysis to drive strategic decisions. The role involves managing a team of analysts, owning the analytics lifecycle, utilizing predictive modeling, and driving automation through AI. Key responsibilities include stakeholder management, project oversight, team leadership, and championing the transition to AI Assistants for financial insights. | — | 5 |
| Sr IT Service Delivery This role focuses on operational maturity and AI-first programs for an IT Service Desk, aiming to increase virtual-agent deflection and automate support processes. It involves managing IT program management, IT operations leadership, and driving operational transformation through AI/automation adoption. | — | 5 |
| Data Analyst, Global Strategy & Planning This role focuses on data pipeline engineering, reporting infrastructure, and data modeling to support operational analytics and enable data-driven decisions. It involves building scalable data workflows and dashboards, collaborating with data science and engineering teams, and experimenting with GenAI for insight generation. | — | 5 |
| Sr Data Scientist, Tech This role focuses on building prototype software solutions to automate business processes and drive operational efficiency using data and AI technologies. The candidate will leverage data to understand business problems, identify automation opportunities, conduct architecture and code reviews, and manage teams. The role involves developing end-to-end solutions for funnel optimization, user engagement, and user experience, and identifying use cases for machine learning and AI capabilities. | Ship | 5 |
| Software Engineer II - Earner (multiple teams hiring) Software Engineer II role focused on building ML-driven solutions for the Earner lifecycle, including personalized experiences, acquisition, and retention. The role involves working with GenAI/LLMs, Deep Learning embeddings, Causal ML, and Multi-armed Bandits to drive business growth and optimize user touchpoints. The position requires designing and scaling backend services, collaborating with Data Science and Product teams, and ensuring system integrity. | Agent | 5 |
| Scientist II, Fares Scientist II on the fares platform team at Uber, focusing on pricing, policy design, optimization, and defect reduction. The role involves leveraging experiment design, exploratory data analysis, causal inference, and model development to solve complex problems and build AI agents for data science workflows. The primary deliverable is the AI/ML models and agents that impact Uber's fares platform, which processes significant gross bookings annually. | Ship | 5 |
| Senior Data Analyst, People Analytics This role focuses on people analytics, using data to answer business questions and influence decisions related to engagement, retention, performance, and organizational health. It involves analyzing employee survey data, building dashboards, and communicating insights. While the role mentions leveraging Generative AI tools, its core function is data analysis and consulting within the HR domain, not building or shipping AI models. | — | 5 |
| Staff Security Engineer Staff Security Engineer to drive the development of next-generation security platforms, architecting and implementing industry-leading security solutions. The role involves leveraging automation and AI/ML to transform enterprise defense. | — | 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 |
| Senior Staff Software Engineer: Data & Storage Platform Senior Staff Software Engineer role focused on architecting and building Uber's Next-Generation Data Intelligence Platform, which includes unifying batch, streaming, and AI compute, revolutionizing storage and catalog management, and operationalizing agentic data intelligence. The role involves evolving large-scale persistence layers and integrating compute fabrics with vector databases and model-serving platforms. | Agent | 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 |
| Data Scientist, People Analytics Data Scientist role focused on people analytics, using quantitative methods including statistical modeling, causal inference, experimentation, and machine learning to understand employee behavior and inform strategic decisions. The role involves analyzing survey and behavioral data, improving measurement approaches, and communicating findings to stakeholders. Experience with GenAI tools for data analysis is a plus. | — | 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 |
| Director, Sales (Annual Plan) Director of Sales for Uber's Annual Plan, focusing on enterprise customers and driving revenue for Uber AI Solutions. This role requires understanding AI Solutions capabilities to demonstrate value, accelerate partnerships, and shape tech/ops direction. It involves building customer relationships, leading sales strategy, and managing a team of sales professionals. | — | 5 |
| Software Engineer Software Engineer at Uber responsible for designing and developing large-scale data systems, including databases, data warehouses, and big data platforms. The role involves building robust and scalable software solutions, designing and building scalable data pipelines for batch and real-time processing using tools like Apache Airflow, Spark, SQL, Kafka, and Flink. Key responsibilities include ensuring data quality, privacy, and compliance, championing data governance, driving automation, and collaborating with cross-functional teams. The role also requires staying updated on data engineering, Gen AI, and Cloud solutions to create innovative solutions and mentoring junior engineers. | Data | 5 |
| AV Labeling Program Manager II Program Manager for Uber's Physical AI team, focusing on managing human-in-the-loop (HITL) operations for ML/AI projects, specifically 2D/3D LiDAR annotations, object detection, and semantic segmentation. Responsibilities include designing data pipelines, managing global vendor operations, developing SOPs, and analyzing program metrics to drive decisions and improve processes from pilot to full-scale deployment. | Data | 5 |
| Staff Software Engineer - (Backend) Gen Ai Staff Software Engineer role focused on architecting and scaling distributed backend systems for media ingestion, processing, intelligence, and delivery. The role involves improving performance, reliability, and cost efficiency of high-throughput media pipelines, and designing infrastructure for efficient integration and execution of ML inference workloads within these media systems. It also includes driving technical strategy and mentoring engineers. | Serve | 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 Strategy and Operations Manager This role is a Senior Strategy and Operations Manager for Uber AI Solutions, focused on redefining work in the AI Era by attracting, onboarding, and engaging skilled gig workers. The role involves designing and executing scalable strategies, building foundational processes, leading outreach campaigns, optimizing operations through data and experimentation, and collaborating with cross-functional teams. It is a foundational role in a new business unit, aiming to impact how AI systems are powered by managing the human element of AI-driven work. | — | 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 |
| Software Engineer II - Back-end & ML/AI Infra Software Engineer II to join the Data Security & Governance engineering team, focusing on building distributed backend and AI-powered systems for data protection and safe adoption of ML/GenAI. The role involves designing and building scalable systems, handling transactions, developing intelligent privacy and security strategies, and working with GenAI and Model Context Protocol. | Serve | 5 |
| Senior Engineering Manager - Membership Senior Engineering Manager for Uber One's Membership Growth team, focusing on leading a large organization of engineers (including MLEs) to build and scale personalized upsell and retention engines. The role involves architecting systems that use real-time intent signals and propensity models, driving growth initiatives like incentive targeting and churn prevention, and bridging the gap between ML models and product features. Experience in growth domains, ML team leadership, and incentive optimization is preferred. | Agent | 5 |
| Software Engineer II, AdTech Software Engineer II role on the AdTech team, focusing on building the technological foundation for Uber's advertising efforts. The role involves designing and delivering end-to-end marketing features, developing scalable services, modernizing AI infrastructure, and building data pipelines. It requires leveraging data science, models, and LLMs for optimization and automation, with a focus on creating retrieval systems and knowledge architectures for AI-driven features. Collaboration with Product Management, Data Science, and other engineering teams is key. | AgentData | 5 |
| Product Manager - Mobility Marketplace Product Manager for Uber's Mobility Marketplace, focusing on matching algorithms to improve rider and driver experience. Requires experience with algorithmic/ML-powered products and driving execution in a metrics-driven environment. | Agent | 5 |
| Sr Software Engineer, AdTech This role focuses on building and delivering end-to-end marketing features that leverage AI and LLMs for optimization and automation within Uber's AdTech platform. It involves modernizing the tech stack for AI-driven systems, developing low-latency retrieval systems, and building scalable data pipelines. | AgentData | 5 |
| Senior Software Engineer Senior Software Engineer for Uber's Earner Trip Experience team, focusing on backend platforms, SDKs, and APIs that power seamless on-trip experiences for millions of Earners. The role involves technical leadership, architecting scalable systems, driving cross-functional collaboration, and ensuring system performance and quality. Requires experience in building highly scalable distributed systems and platform/SDK/API design, with a preferred track record in applied AI for user experience and production ML model deployment. | Ship | 5 |
| Sr Recruiter, EMEA, Delivery This role is for a Sr Recruiter in Paris, France, supporting Uber Eats and Grocery & Retail. The recruiter will own the full lifecycle of recruiting, design sourcing strategies, partner with hiring managers, and leverage data and AI tools to improve hiring processes. The role requires 8+ years of recruiting experience, fluency in French and English, and AI fluency for leveraging tools like Gemini and Glean. Experience in tech, mobility, or marketplace sectors is preferred. | — | 5 |
| Software Engineer 2 Software Engineer 2 on the Global Intelligence Team at Uber, focusing on building scalable engineering solutions and platforms for data-driven decision making in Uber Rides and Eats. The role involves implementing and productionizing models, designing new systems for fast data-driven decisions, and building distributed backend systems for real-time analytics and ML features at Uber scale. Collaboration with science and product teams on technical roadmap and vision is key. | Data | 5 |
| Senior Software Engineer This role focuses on building scalable engineering solutions for Uber's Global Intelligence Team, which uses data and algorithms for marketplace decisions. The engineer will create a platform for data-driven decision-making, productionize models with the science team, and develop systems for real-time analytics and ML features at Uber scale. | Serve | 5 |