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.
Currently tracking 95 active AI roles, down 34% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$336k (avg $224k).
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 |
|---|---|---|
| Sr Software Engineer - AI Platform (Michelangelo) Uber's ML Serving team is seeking a Senior Software Engineer to build and operate large-scale, low-latency systems for real-time ML and generative AI inference. The role involves leading the design and ownership of critical serving services and frameworks, partnering with ML engineers to productionize models, and improving system reliability and performance. | Serve | 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 |
| 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 |
| 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 |
| Sr Software Engineer - Matching ML Platform Software Engineer to join the Matching ML Platform team, focusing on building and scaling a low-latency platform for real-time matching decisions, evolving the ML platform for inference and experimentation, and designing extensible architectures for ML-powered matching capabilities. | ServeAgent | 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 |
| Staff Machine Learning Engineer Staff Machine Learning Engineer at Uber on the Marketplace Signals team, focused on developing and optimizing ML models for marketplace signals like ETA predictions, supply availability, and demand forecasts. The role involves building scalable systems for these signals, leveraging ML techniques, and working with real-time data and distributed systems. Requires a strong background in ML, statistics, optimization, and experience with ML frameworks and data pipelines. | Serve | 7 |
| Staff Software Engineer - AI Platform (Michelangelo) Staff Software Engineer on Uber's ML Serving team within the AI Platform, focusing on infrastructure for real-time ML and generative AI inference at scale. Responsibilities include defining technical direction, leading cross-team initiatives, and designing foundational architectures for thousands of models in production. | Serve | 7 |
| Software Engineer II Software Engineer II role focused on building backend systems for automated retail intelligence, processing image data, orchestrating model inference, and converting predictions into inventory signals. Requires experience with scalable data pipelines, backend service development, and system reliability. | ServeData | 7 |
| 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 |
| 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 |