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 serves as a human-in-the-loop quality and safety gate for AI deployments, focusing on manual evaluations of customer and agent interactions with AI-powered support tools. The specialist will assess response accuracy, relevance, and customer experience, identify defects and gaps, and contribute to the continuous improvement of AI programs by providing actionable insights to product and engineering teams. The role requires expertise in policy operations and support policy frameworks, with a focus on ensuring AI outputs align with current policies and support standards.

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.

Lead the data strategy and development for global business reviews, forecasting, and QBRs. Build forecast models and performance frameworks. Apply AI tools and technical automations to eliminate manual friction. Lead high-visibility initiatives. Act as a trusted advisor to Sales, Finance, and Strategy teams.

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.

This role is for a Senior Account Executive focused on selling Uber's AI Solutions, which include services for data collection, labeling, map editing, and AI model validation to enterprise customers. The role involves driving sales revenue, establishing go-to-market strategy, managing the sales lifecycle, and leveraging technical expertise to help customers meet their AI training data needs.

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.

This role focuses on integrating support strategy for driver/fleet acquisition and upgrading support experience quality across North Asian markets for Uber. It involves leveraging GenAI to optimize user, agent, and employee interactions with Uber's digital ecosystem, and potentially building/training GenAI models for daily workflows. The role is product-focused, aiming to improve customer experience and operational efficiency within the consumer domain.

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.

Scientist II role focused on improving the reliability, efficiency, and adoption of Uber's Reserve product by transitioning from heuristic-based decision making to building machine learning models for real-time decisions. This involves designing roadmaps, running large-scale experiments, and analyzing user behavior trends.

This role leads critical security incidents, acting as an incident commander and technical investigator. It involves making high-stakes decisions under pressure, conducting deep technical analysis, and driving systemic remediation. The role also focuses on maturing the incident response program through simulations, threat-informed planning, and adopting new investigative techniques, including AI-assisted workflows and AI-driven tooling.

Product Manager for Uber Eats Consumer Fulfillment Quality, focusing on making orders reliable and predictable by preventing defects before they happen. This involves defining product strategy, identifying defect sources, owning consumer experience for prevention moments, partnering with Data Science and Engineering on prediction/detection/intervention systems, designing experiments, and translating insights into requirements. The role requires strong analytical and systems thinking skills, experience shipping products that improve customer experience and reliability, and familiarity with prediction or risk-scoring systems.

Senior Software Security Engineer role focused on building and operating an automated AppSec platform, including AI-driven scanning and agent-based discovery, to identify and remediate security vulnerabilities across Uber's application ecosystem.

Senior Staff Engineer for Uber's Identity Organization, focusing on architectural stewardship and leveraging GenAI for fraud detection and 'Identity-as-Code' to enhance security, scalability, and developer velocity across a 120+ engineer team managing global identity for millions of users.

Senior Software Backend Engineer to join Uber's Customer Obsession team, focusing on building and enhancing backend systems for customer communication channels, including integrations with IVR, Video, and Generative AI solutions for self-service automation.

This role focuses on leveraging advanced analytical methods, including statistical modeling, causal inference, and machine learning, to derive competitive intelligence and shape business strategy. The candidate will translate complex analyses into actionable insights, collaborate with cross-functional teams, and provide technical mentorship. While the role uses ML methodologies, its primary focus is on competitive strategy and business insights rather than shipping core AI/ML products.

Senior Staff Data Engineer to define and drive the architecture, scalability, and intelligence of Uber's delivery data systems, leveraging Generative AI (GenAI) and intelligent data systems for automation and insights. This role involves leading cross-organizational initiatives for data ingestion, modeling, security, and governance at a global scale, with a focus on data quality and performance.

Staff Software Engineer role focused on building and scaling marketplace simulation, control systems, and data infrastructure for Uber's ride-sharing platform. The role involves architecting systems that process large volumes of data, working with pricing algorithms and ML systems, and collaborating with Data Science and Product teams. It emphasizes technical leadership, system design, and optimization at scale.

This role leads Uber's global effort to standardize customer support technologies and operations, focusing on quality and simplification. It acts as a bridge between CommOps and the Customer Obsession Product team, ensuring global support products and policies are reliable, scalable, and user-centered. The role oversees User Acceptance Testing, Usability, Product Evangelism, Global First Product Operations, and Policy Optimization, all aimed at enabling Uber's transition to tech-first, AI-powered customer support. The Director will define and execute the Global Standards strategy, lead and coach senior managers and program leaders, and partner with Product and CommOps teams.

This role focuses on using data to analyze and optimize Uber's rider experience, driving growth through understanding rider behavior, creating personalized features, and improving the app's user experience. It involves experimentation, product analytics, and ML modeling to tackle business challenges and influence product strategy.

This role is for a Senior Program Manager focused on building and managing large-scale, high-quality data collection programs for AI/ML initiatives. The role involves end-to-end program ownership, operational execution, quality assurance, stakeholder management, and continuous improvement of data collection processes across various data types and global locations. While the role supports AI/ML development, it is not directly involved in building AI models or core AI research.

This role focuses on designing and scaling real-time dynamic pricing systems for Uber, involving large-scale, low-latency systems that handle millions of QPS. It requires expertise in distributed systems, optimization, and ML, with a focus on scaling model inference and real-time feature serving for pricing decisions.

This role is for a Sr. Program Manager focused on Gen AI within Uber AI Solutions. The primary responsibility is to lead program delivery and client engagement in the domain of AI training and evaluations, specifically for coding/engineering, agentic AI, and data analytics use cases. The role involves presales support, ongoing program delivery governance, driving innovation, and collaborating with product/engineering teams on tech roadmaps. While the role interacts heavily with AI/ML concepts and products, the core craft is program management and client engagement rather than direct AI/ML model development or research.

Applied Scientist role focused on measuring and optimizing brand marketing budgets using statistical/econometric methods, building technical tools like media mix models and optimization engines, and collaborating with cross-functional teams. Requires advanced SQL, Python, and experimental design skills, with a preference for marketing/AdTech experience.

This role focuses on optimizing the operational life cycle for critical merchant partners within Uber Eats Japan, aiming to create efficient and scalable onboarding and growth processes. The Head of Merchant Enablement will lead a team, manage complex manual processes, and drive automation using AI tools to streamline operations and improve speed-to-market. The role involves strategic problem-solving, cross-functional collaboration, and change management, with a strong emphasis on operational excellence and automation.