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.
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| Uber Direct Senior Machine Learning Engineer at Uber Direct, focusing on building and productionizing ML systems for real-time logistics operations, including ETA prediction, demand forecasting, and dispatch optimization. The role involves the end-to-end ML lifecycle, from data exploration to deployment and monitoring, with an emphasis on scalable ML systems and driving business impact. | Serve | 7 |
| Senior ML Engineer Senior ML Engineer role focused on building AI-driven security systems for Uber's Zero Trust Architecture. The role involves translating security needs into ML problems, developing and productionizing ML models for real-time risk-adaptive decisions, and integrating these systems into critical access pathways. This is a greenfield opportunity at the intersection of ML, security, and infrastructure. | Agent |
| 7 |
| Applied Scientist II, Safety This role focuses on applying machine learning to enhance safety within Uber's platform. The responsibilities include owning the end-to-end applied science workflow, from problem scoping and deep-dive analysis to developing models and driving experimentation. The candidate will work cross-functionally with product, engineering, and operations to deliver impactful safety solutions and will be responsible for deploying sophisticated ML models into production, ensuring their robustness and measurable safety impact. Experience with LLMs in a production environment is preferred. | Ship | 7 |
| Sr Software Engineer - Machine Learning, Marketplace/Maps/Membership/AV This role focuses on designing, developing, optimizing, and productionizing machine learning (ML) or ML-based solutions and systems at scale for Uber's various platforms (Marketplace, Maps, Membership, AV). The engineer will also contribute to ML infrastructure for model development, training, deployment, and scaling. Key responsibilities include collaborating with stakeholders, writing efficient code for low-latency and high-reliability models, and implementing monitoring systems for live environments. The role emphasizes the full ML lifecycle, from development to productionization and monitoring, with a focus on scalable and reliable ML systems. | ShipServe | 7 |
| Software Engineer II - Machine Learning, Marketplace/Maps/Membership/AV Software Engineer II focused on designing, developing, optimizing, and productionizing machine learning models and systems at scale for Uber's marketplace, maps, and membership platforms. Responsibilities include writing efficient code for low-latency, high-reliability models, implementing monitoring systems, and collaborating with cross-functional teams. Requires experience with the full ML lifecycle, including deployment and orchestration. | Serve | 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 |
| Staff Machine Learning Engineer Staff ML Engineer for Uber's Consumer Incentives team, focusing on profitability and growth by enhancing customer experience through ML and optimization solutions. Responsibilities include technical leadership, designing and implementing ML systems, managing end-to-end project execution, and collaborating with cross-functional teams. | Ship | 7 |
| Senior Software Engineer, (Backend) Uber AI Solutions Senior Software Engineer to lead platform architecture for Uber AI Solutions, focusing on building foundational data infrastructure for next-generation AI systems. The role involves designing and delivering scalable backend solutions that integrate human expertise with ML for producing high-quality, model-ready datasets for multimodal and real-world AI use cases. | Data | 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 |
| Sr Staff Machine Learning Engineer - Ads Senior Staff Machine Learning Engineer at Uber, focused on Ads. This role involves leading the design and implementation of advanced ML systems, owning the end-to-end ML model lifecycle from research to production, building scalable ML architecture, establishing best practices, and creating platform abstractions. The role also includes mentoring other engineers and collaborating with product and science teams. | ShipServe | 7 |
| Staff Machine Learning Engineer - Ads Staff ML Engineer for Uber's Ads team, focusing on designing, building, and evolving ML systems for ads selection, ranking, pricing, and delivery. The role involves end-to-end ownership of ML systems, including training, feature infrastructure, and low-latency online inference, with a strong emphasis on improving model quality, serving efficiency, observability, and reliability. The position requires leadership in defining the technical roadmap, mentoring, and collaborating with product and infrastructure teams to drive significant impact on Uber's Ads business. | ShipServe | 7 |
| Senior Machine Learning Engineer - Ads Develop and improve ML models for Uber's Ads recommendation and auction systems, focusing on user and merchant behavior to enhance ad relevance and pricing. | Ship | 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 |
| Senior Scientist, Maps Senior Scientist role focused on developing and deploying machine learning models for Uber's Maps products, including location search, route optimization, and travel time predictions. The role involves data analysis, experimental design, and building data-driven product enhancements. | Agent | 7 |
| Staff Applied Scientist - Observability Uber is seeking an experienced Applied Scientist to build a real-time data platform for customer experience observability and analytics. The role involves designing and improving anomaly detection and alerting for multivariate time series, building methods to reduce incident impact, and contributing to intelligent incident response workflows. It also includes developing statistical monitoring for code deployment and feature rollout safety, and enabling analytics through data infrastructure. The scientist will define success metrics for incident detection systems and create evaluation harnesses. This is a high-impact role collaborating with engineering to drive an ambitious observability platform. | Eval GateAgent | 7 |
| Sr Scientist, Merchant Optimization Senior Scientist role focused on optimizing merchant selection and pricing models for Uber's Delivery business. This involves leading data scientists, designing A/B experiments, collaborating with cross-functional teams, generating insights from large datasets, and productionizing models. Requires strong analytical skills, ML development experience, and leadership capabilities. | Agent | 7 |
| Senior Machine Learning Engineer - Maps Senior ML Engineer at Uber's Places Data Team, focusing on building production ML systems for places matching, attribute inference, summarization, and friction detection using classical ML, deep learning, and generative AI. Responsibilities include end-to-end ML solution development, experimentation, and mentoring junior engineers. | Agent | 7 |
| Director, Engineering - Marketplace Director of Engineering for Uber's Marketplace team, leading a team of 40 engineers and applied scientists. The role focuses on building and leading the tech and systems for driver pricing and matching, including ML modeling, optimization, and backend systems. Requires strong management experience and a background in software engineering with ML/optimization. | Agent | 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 |
| Senior Staff Machine Learning Engineer - Trusted Identity Senior Staff ML Engineer focused on Account Integrity and fraud prevention using ML models. The role involves shaping the technical roadmap, designing and implementing end-to-end ML pipelines, and productionizing solutions at scale. Familiarity with multi-task learning, LLMs, and anomaly detection is preferred. | Ship | 7 |
| Machine Learning Engineer II, Pricing Machine Learning Engineer II focused on Dynamic Supply Pricing (DSP) at Uber, developing models, algorithms, and large-scale distributed systems for real-time driver pricing. The role involves designing, developing, and productionizing end-to-end ML solutions, including deep learning, causal modeling, and reinforcement learning, for a high-volume marketplace serving millions of drivers. | Ship | 7 |
| Staff Machine Learning Engineer - Marketplace Pricing Staff ML Engineer role focused on developing and productionizing advanced ML models and pricing algorithms for Uber's Marketplace Pricing, involving deep learning, causal modeling, and reinforcement learning in large-scale distributed systems serving billions of trips. | Ship | 7 |
| Staff Machine Learning Engineer - Pricing & Incentives Staff Machine Learning Engineer focused on pricing and incentives, designing and implementing ML models for dynamic pricing and incentive allocation at Uber scale. Responsibilities include shaping the technical roadmap, end-to-end ML pipeline ownership, and productionizing solutions. | Ship | 7 |
| Staff Machine Learning Engineer - Causal Inference Uber's Surge team is hiring a Staff ML Engineer focused on causal inference to build large-scale pricing optimization systems. The role involves training ML models with sparse data, designing experiments, and developing causal models for real-time marketplace conditions. This is a backend role with significant impact on rider experience and driver earnings. | Data | 7 |
| Staff Scientist, Mobility Matching Develops and analyzes ML models and optimization algorithms for Uber's mobility matching system, focusing on improving trip fulfillment, reliability, and ETAs. Collaborates with cross-functional teams to drive system development from concept to production. | Agent | 7 |
| Senior Staff Engineer - Marketplace Competitive Intelligence Senior Staff Engineer role focused on Competitive Intelligence at Uber, involving extracting insights from market data and building defenses against scraping and data abuse. This includes adversarial machine learning and bot detection. The role requires leading technical vision, system design, and mentoring engineers, with a focus on high-stakes ambiguity and technical complexity. | AgentData | 7 |
| Staff Scientist - Ads & Offers Staff Scientist role focused on designing and building core algorithmic components for Uber's Advertising and Offers platform, involving statistical, optimization, and machine learning models for auction, bidding, pacing, and ranking. The role requires understanding system performance, leading algorithm design, and collaborating with cross-functional teams to productionize solutions. | Ship | 7 |
| Senior Engineering Manager - (Machine Learning) Uber Eats Senior Engineering Manager for Uber Eats Shopping ML team, focusing on personalization and discovery experiences. The role involves defining strategy, collaborating with cross-functional teams, developing scalable ML systems, and staying updated on industry trends. Requires significant experience in managing ML teams and applying ML to real-world problems, particularly in consumer-facing products. | Ship | 7 |