Manager II, Technical Program Management, GenAI role at Uber AI Solutions. This senior, customer-facing leadership position involves managing and scaling a team of TPMs responsible for delivering complex AI training and evaluation services. The role requires partnering with various internal and external stakeholders to shape solutions, define delivery models, and ensure high-quality execution, with a strong emphasis on technical judgment, people leadership, and program delivery expertise in the AI model training and evaluation ecosystem.

Uber's Applied AI team is seeking a Staff ML Engineer to design, implement, and scale high-impact AI solutions, focusing on Generative AI, Computer Vision, and Personalization. The role involves leading technical projects, influencing ML system architecture, and collaborating cross-functionally to deliver AI-powered features from ideation to production.

Senior ML Engineer role focused on building and deploying production-ready ML systems, including generative AI, computer vision, and personalization, to power core Uber products. The role involves the full ML lifecycle from experimentation to monitoring and emphasizes delivering end-to-end AI solutions.

Senior ML Engineer at Uber's Applied AI team, focused on delivering end-to-end AI solutions for core business problems, including Generative AI, Computer Vision, and Personalization. The role involves building production-ready ML systems and infrastructure, from experimentation to deployment and monitoring, to power user and business-facing products.

Uber is seeking a Senior Machine Learning Engineer for their Customer Obsession team to design, develop, and productionize ML solutions for customer support. The role involves generative AI, agentic AI, NLP, and distillation techniques to enhance customer experience and achieve cost savings.

Senior ML Engineer role focused on building and productionizing ML models for Uber's Offers team, enhancing personalization and promotions. The role involves owning the end-to-end ML lifecycle, from data pipelines to low-latency serving, and collaborating cross-functionally to drive business impact.

Senior Machine Learning Engineer for Uber's Customer Obsession team, focusing on enhancing customer support experience and driving cost savings through ML solutions. The role involves designing, developing, and productionizing generative AI, agentic AI, and NLP models, with a strong emphasis on experimental design and collaboration.

Senior ML Engineer on the Content Platform team at Uber, focusing on building core ML capabilities for a customer support chatbot (Nova). The role involves improving response quality through observability, retrieval, ranking algorithms, and content strategies. Key responsibilities include defining observability and evaluation frameworks, developing retrieval and ranking algorithms (semantic search, RAG), building feedback loops, and collaborating with stakeholders to deliver production systems.

This role leads operations for a proprietary supply channel within Uber AI Solutions, focusing on scaling programs for internal solutions and external enterprises. The goal is to establish leadership in the AI training space by managing operations, defining go-to-market plans, advising product teams, and ensuring cross-functional alignment for safety and reliability. The role involves tracking metrics and scaling the channel internationally.

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.

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.

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.

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.

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.

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.

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.

Engineering Manager for Uber's Ads organization in India, leading the Reporting and Recommendations team. This role focuses on building foundational data, insights, and personalization systems for advertising across Mobility, Delivery, and Grocery. The team owns platforms for advertisers to understand performance, optimize spend, and reach audiences through scalable reporting, recommendations, and datamart solutions. Requires strong leadership in data-intensive systems and experience with recommendation/personalization systems.

This role is for a Program Manager II in the GSS DAS team at Uber, focusing on program management and execution within the Data Engineering space. The candidate will create KPI tracking frameworks, partner with Data Science, Analytics, Product, and ML teams, lead vendor partners, and leverage Gen AI for automation of Data Engineering workflows. The role requires at least 8 years of experience in data engineering program management, SQL proficiency, understanding of Data Engineering fundamentals, and strong leadership skills. Preferred qualifications include experience with Gen AI for Data Engineering efficiency and data exploration in batch/real-time systems.

Software Engineer II - IOS role at Uber in Bangalore, India, focusing on building and maintaining large-scale iOS applications. Requires 3+ years of experience in iOS engineering with Swift and modern frameworks, strong understanding of software engineering best practices, and experience mentoring junior engineers.

This role is for an Application Developer L3 in the Identity and Access Management (IAM) team, focusing on building secure, scalable, and reliable identity solutions. The role involves integration, automation, and platform engineering within IAM, supporting production stability, and exploring emerging agentic AI capabilities to improve workflows and operational efficiency. Responsibilities include designing, building, and maintaining IAM systems, APIs, and automation, integrating identity systems, and contributing to AI-driven approaches for operational improvements.

Senior Staff Engineer role focused on Uber's web platform architecture, aiming to make web experiences as seamless as native across various surfaces and third-party integrations. Responsibilities include defining rendering, data, and performance primitives to achieve sub-second load times and ensure data consistency between web and native clients. The role requires deep expertise in web technologies, performance optimization, and strategic technical leadership.

Senior Staff Engineer role focused on the core mobile application platform for Uber's Rider app. Responsibilities include defining architectural patterns, build systems, and platform primitives to improve developer velocity, app performance, and enable faster feature shipping across global markets. Requires deep expertise in mobile engineering (Kotlin/Swift) and experience leading large-scale mobile architecture decisions.

This role is for a Senior Software Engineer on the Earner Data Intelligence team, focusing on large-scale data pipelines and datasets critical for Uber's decision-making and customer experience. The engineer will work with petabyte-scale analytics data, build software systems and data models to help data scientists understand user behavior, and ensure high-quality data flows for analytics purposes across Uber.

Security Engineer II role focused on designing and developing Identity and Access Governance systems, including authentication, authorization, and SSO. The role involves building features, APIs, and workflows for the Information Security organization, defining security controls, and adopting best practices. While AI/ML is mentioned as a potential tool for innovation, the core responsibilities are in traditional security engineering and identity management.

This role focuses on evaluating and enhancing the security of IT systems and infrastructure through control assessments, policy recommendations, and continuous monitoring. While it explores the use of LLM-based solutions for automating security tasks, the core function is cybersecurity assurance, not AI/ML development.

This role focuses on improving the reliability, safety, and operational excellence of Uber's services by working with engineering teams on tooling, automation, and process improvements. Responsibilities include incident reviews, postmortems, quality audits, monitoring system reliability, and improving engineering workflows like runbooks and PRRs.

Senior Software Engineer role at Uber focused on building and scaling new product offerings and experiences within the Mobility Verticals organization. The role involves working closely with product teams, designing system architecture, and delivering quantifiable results for high-throughput, low-latency APIs.

Staff Software Engineer focused on the Payments data ecosystem, driving technical vision, roadmap, and execution for large-scale batch and streaming data pipelines. Responsibilities include architecting resilient systems, elevating data standards, optimizing infrastructure, and mentoring engineers. Requires deep expertise in SQL, data modeling, big data ecosystems, and software engineering fundamentals.

Senior Software Engineer at Uber, focusing on designing, developing, and testing software applications within Uber's technology stack. The role involves technical collaboration, understanding business concerns, and delivering high-quality products through a full software cycle. Requires strong experience in software design, architecture, distributed systems, and microservices, with proficiency in languages like Go, Java, or Python, and frontend skills in Javascript/React. Experience with large-scale consumer internet platforms and operational/agent workflows is preferred.

Data Engineer responsible for building and maintaining data pipelines and data products that support analytics, reporting, and machine learning use cases. The role involves developing batch and real-time data processing workflows, ensuring data quality, and optimizing pipeline efficiency.

Data Engineer responsible for building and maintaining data pipelines and data products that support analytics, reporting, and machine learning use cases. Focuses on transforming large datasets into reliable data assets, ensuring data quality, and optimizing pipeline efficiency.

Data Engineer II role focused on building and maintaining data pipelines and data products for analytics, reporting, and ML use cases within Uber's Delivery organization. Responsibilities include developing batch and real-time processing workflows, ensuring data quality, and optimizing infrastructure.

Data Engineer II role focused on building and maintaining data pipelines and data products for analytics, reporting, and ML use cases within Uber's Delivery organization. Responsibilities include developing batch and real-time data processing workflows, ensuring data quality, and optimizing pipeline efficiency.

This role is for a Senior Team Lead in Data Analytics at Uber, focusing on creating, maintaining, and automating processes for operations. The lead will mentor a team, manage deliverables, coordinate with global teams, drive analysis, and partner with stakeholders to improve operational efficiency and user experience. Requires strong analytical, SQL, Python/R, and visualization skills, with experience in project management and reporting automation.

This role is for a Sr. Software Engineer focused on Frontend/Web for Uber AI Solutions. However, the provided job description is generic and does not contain specific details about the role's responsibilities or required skills related to AI/ML development. Therefore, it cannot be classified as AI-related based on the given information.

This role is for a Senior Account Executive focused on driving new business and building partnerships for Uber for Business in India. The responsibilities include managing sales pipelines, identifying customer needs, retaining and growing accounts through upselling and cross-selling, and engaging with C-suite executives. It requires significant B2B sales experience, analytical skills, and strong communication abilities.

Uber's Internationalization team is building foundational software and tools for localization (L10n) processes, including translation management, quality assurance, and content distribution. They are also expanding to offer Localization-as-a-Service to external customers through Uber AI Solutions' knowledge work marketplace, aiming to create a large marketplace for knowledge work.

This role is not AI-related as AI/ML is not the core craft. The job posting is for a Staff Software Engineer (Communications Platform) at Uber.

This role focuses on accelerating growth for Uber for Business's self-signup channel in APAC by defining and launching new growth initiatives, managing program execution, analyzing business insights, and monitoring market trends. It requires strong cross-functional partnership and analytical skills to drive strategy and deliver elevated experiences to business customers.

Group Product Design Manager to lead and grow a team of designers focused on shaping the future of the Rider Experience at Uber. This role involves collaborating with cross-functional teams to create user-centric experiences, set quality standards, and mentor designers. Requires systems thinking, execution, innovation, and a passion for solving customer challenges.

Uber is seeking a Team Lead for their Community Operations team in Hyderabad, India. This role involves managing a team of Specialists, driving projects to improve customer satisfaction, and focusing on continuous improvement initiatives. The ideal candidate will have strong people management, process management, analytics, stakeholder management, customer support, and project management skills. Responsibilities include leading and developing a team, managing SLAs and quality, working with cross-functional teams on QA/training programs, making data-driven process improvements, and executing ad-hoc projects.

Software Engineer role focused on building and operating tech to support managers and team leads in Uber's COE and BPOs, ensuring work assignment, completion, and measurement tracking with real-time insights. The role involves designing and driving projects from inception to production, collaborating with stakeholders, product managers, data scientists, and partner engineering teams, and ensuring system availability, scalability, performance, and efficiency.

Uber is seeking a Sr. Executive Recruiter with a focus on Tech roles, responsible for attracting and hiring senior executives (Director+) globally. The role requires a minimum of 10 years of experience in recruiting, with an emphasis on tech functions and scaling businesses in high-growth environments. The recruiter will partner with the executive leadership team and contribute to the growth of Uber by attracting top talent.

Backend Software Engineer on the Vehicles Platform team at Uber, responsible for designing and developing new platform capabilities using cutting-edge technologies. The role involves working with cross-functional and external teams to deliver features to production, building and maintaining backend micro-services, and collaborating with Product, Design, and Data Science teams. Requires strong programming skills in languages like Java, Python, Go, C++, C#, and experience with distributed systems.

This role is for a Staff Technical Program Manager at Uber, focusing on the Selection & Fulfillment organization. The primary responsibility is to structure and drive high-impact, cross-organizational initiatives that improve Uber's end-to-end delivery marketplace. This involves developing program strategy, engaging teams, becoming a subject matter expert in merchant onboarding and catalog data, elevating technical implementation, mitigating risks, and owning communication with leadership. While experience with LLMs is a preferred qualification, the core of the role is program management within a large-scale marketplace, not direct AI/ML development.

Senior Software Engineer role in Uber's U4B Platforms Org in Bangalore, focusing on building and evolving business systems for Uber B2B Customers. The role involves leading complex engineering projects, defining technical directions, collaborating with stakeholders, mentoring engineers, and improving system performance and efficiency. Requires strong software design principles, experience with low-latency backend services, and data solutions.