This role is for a Sr. Technical Program Manager within Uber's Engineering Security organization, focusing on AI governance and AI agent oversight. The TPM will drive cross-functional reviews of security standards, support AI agent inventory and governance, coordinate AI red teaming activities, and manage security and privacy review programs. The role involves using and improving internal AI tooling for tasks like triage, assignment, and reporting, and ensuring AI agents are accurate and calibrated. It also includes managing a security champions network and performing cross-program analysis to drive improvements. The TPM will partner with senior leaders to shape AI governance across the engineering organization.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Senior Software Engineer focused on application security, specifically designing and implementing automation to secure AI implementations and detect vulnerabilities using model-driven analysis. The role involves building distributed backend systems and agentic security features.

Uber is seeking a Sr Software Engineer to lead technical execution and drive architectural decisions for their Marketplace Segmentation team. This role involves collaborating with Product, Data Science, and other engineering teams to solve complex problems in real-time matching, dynamic pricing, and ML model integration, ultimately impacting critical products like UberX Priority and Wait & Save. The engineer will also mentor junior team members and contribute to the team's long-term technical vision.

This role focuses on the operational aspects of Identity and Access Management (IAM) systems, leveraging AI and automation to improve security, compliance, and efficiency. The engineer will administer platforms like Okta and Azure AD, build automation scripts, integrate with AI-powered chatbots and RPA, and use AI/ML insights for anomaly detection and Zero Trust enforcement. The role requires scripting proficiency and experience with IAM platforms, with a preference for exposure to AI/ML models in security workflows and compliance frameworks.

Senior Data Scientist role focused on fraud and risk detection at Uber. The role involves applying ML and LLM techniques to identify and mitigate fraud trends, developing new data products and models, and collaborating with cross-functional teams to influence strategy and balance fraud mitigation with user experience. Success requires strong technical and business acumen, with an emphasis on leadership, communication, and problem-solving.

This role focuses on building automated data pipelines and analytics platforms for Uber Advertising, with a key responsibility to integrate GenAI for recommendations and insights. The primary focus is on data engineering and analytics automation.

This role focuses on applying ML, Optimization, and Causal Inference to improve Uber's delivery and marketplace performance. The scientist will develop and implement statistical methodologies, design and analyze experiments, and drive data-driven product development. The role requires experience with large datasets and Python/R, and aims to improve consumer and marketplace outcomes.

Staff Engineer role focused on building and scaling backend services for Uber Eats' personalized feed experience, including ML-powered recommendations and dynamic ranking.

Manager II, Science role at Uber focusing on end-to-end product development using data, analytics, modeling, and experimentation. The role involves formulating business problems, prototyping ML/optimization/causal inference models, generating data insights, and designing/analyzing experiments for Uber's mobility and logistics platforms, specifically within Delivery Marketplace and Uber One Membership teams. Requires leadership and mentoring of a team of scientists.

Staff Scientist role focused on end-to-end product development using data science, ML, optimization, and causal inference for Uber's marketplace platforms. Responsibilities include problem formulation, prototyping models, generating insights, designing and analyzing experiments, and providing thought leadership. The role emphasizes applying quantitative methods to improve marketplace efficiency, pricing, matching, and user experience across various Uber products.

This role focuses on end-to-end product development using data, analytics, modeling, and experimentation. It involves formulating business problems, prototyping ML, optimization, and causal inference models, generating data insights, and designing/analyzing experiments. The role spans various teams within Uber's mobility and logistics platforms, including Delivery Marketplace, Maps, Uber One Membership, Experimentation Platform, and Autonomous Mobility & Delivery.

Scientist II role focused on end-to-end product development using ML, Optimization, and Causal Inference for Uber's marketplace platforms. Responsibilities include formulating business problems, prototyping models, generating data insights, and designing/analyzing experiments. The role spans various teams like Delivery Marketplace, Maps, Uber One Membership, Experimentation Platform, and Autonomous Mobility & Delivery.

Senior Staff Backend Engineer for Uber's Road Safety and Insurance teams, focusing on backend platforms that process telematics, sensor, and behavioral data to enhance safety. The role involves leading cross-team initiatives, designing and evolving data ingestion and processing systems, and partnering with ML/data science teams to productionize models for crash and driving behavior detection. Emphasis on scalability, reliability, and low-latency streaming pipelines.

This role focuses on cloud cost optimization and financial accountability within Uber's cloud environments. The analyst will use data analysis, machine learning, and engineering expertise to identify and implement optimizations, improve forecasts, and drive efficient growth. Key responsibilities include analyzing cloud consumption data, tracking savings, defining performance metrics, managing reporting, and partnering with engineering teams on resource optimization and demand planning.

Senior ServiceNow Developer role focused on building and maintaining enterprise-scale solutions, including integrating and tuning Generative AI capabilities like Now Assist. The role requires strong ServiceNow development experience, system thinking, and the ability to navigate complex technical debt and legacy systems within a fast-changing environment.

Senior Staff AI Security Engineer focused on building next-generation endpoint security platforms and services, leveraging AI to automate and scale enterprise defenses. The role involves defining technical strategy, owning architecture, and leading efforts to identify and remediate vulnerabilities.

This role focuses on developing and scaling Atlassian-based systems (Jira, Confluence) for internal productivity at Uber. While it involves leveraging GenAI and Rovo Agents for workflow automation and integrating LLM capabilities, the core function is engineering enterprise productivity tools rather than building foundational AI models or core AI products.

Develop, configure, and support scalable ServiceNow solutions, leveraging Now Assist and generative AI capabilities to automate workflows and improve efficiency. Focus on ITSM, CMDB, platform capabilities, CI/CD, and integrations.

Develop and maintain AI-powered applications and Atlassian Rovo Agents to automate tasks and augment productivity within Uber's work management stack, focusing on Jira, Confluence, and Rovo.

Develop and scale Atlassian-based systems for Uber's internal productivity, leveraging GenAI and Rovo Agents to automate workflows and solve complex enterprise challenges.

This role is responsible for designing, developing, configuring, and supporting scalable ServiceNow solutions that leverage Now Assist and generative AI capabilities. The developer will focus on automating workflows, improving agent efficiency, and enabling intelligent self-service within the ServiceNow platform, while ensuring platform stability, performance, and integration.

Develops and supports scalable ServiceNow solutions, leveraging Now Assist and generative AI capabilities to automate workflows and improve efficiency within HRSD and other enterprise functions.

Develop and optimize applications on the Atlassian platform, leveraging AI capabilities to automate workflows, connect data sources, and augment user productivity. This role involves building AI-powered applications and Atlassian Rovo Agents, integrating LLMs, and utilizing AI tools in the development workflow.

Senior Applications Developer for Atlassian Cloud (Jira/Confluence) focusing on building secure, scalable applications. Role involves technical leadership, mentoring, and developing solutions using AI, GenAI, and Rovo Agents to automate workflows and create intelligent experiences. Requires strong Atlassian Forge expertise, Node.js, JavaScript/TypeScript, and cloud-native architectures. Experience with AI-powered developer tools and AI/GenAI systems is required/preferred.