Uber

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

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.