Adobe
- HQ
- San Jose, US
- Founded
- 1982
- Size
- 25,000+
- Website
- adobe.com
Currently tracking 206 active AI roles, with 444 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$397k (avg $224k).
| Title | Stage | AI score |
|---|---|---|
| Machine Learning Engineer 5 Senior Machine Learning Engineer with expertise in generative modeling and computer vision to join Adobe's Applied AI team. The role involves architecting and shipping diffusion-based models, driving applied research into production, and mentoring engineers. Responsibilities include designing, training, and fine-tuning diffusion models for image, video, and multimodal generation, improving sampling efficiency, building production-grade pipelines for image/video understanding, developing and fine-tuning vision foundation models, integrating vision encoders with generative backbones, owning the full ML lifecycle, optimizing models for inference, designing scalable training infrastructure, and defining evaluation frameworks. The role also involves leadership, technical design reviews, and collaboration with product, research, and infrastructure teams. | Post-trainServe |
| Machine Learning Engineer 4 Machine Learning Engineer 4 at Adobe's Firefly Enterprise Video API team, focusing on designing, developing, and deploying GenAI backend services for video. The role involves optimizing model performance, enhancing MLOps, and translating research into scalable ML systems for enterprise customers. | ServePost-train | 9 |
| Sr Engineering Manager - Agentic AI, Adobe Express Engineering Manager to lead a team building and operating the agentic AI foundation for Adobe Express, focusing on AI assistants, agentic workflows, and scaling LLM-based features for millions of users. The role requires deep understanding of how LLMs are integrated into complex systems, driving technical direction, and managing end-to-end delivery. | Agent | 9 |
| Senior Machine Learning Engineer Senior Machine Learning Engineer at Adobe Firefly Gen AI Models and services group, focusing on architecting, optimizing, and deploying generative AI models (image, vector, audio, video, multimodal) for Adobe's creative products. The role involves designing backend services, optimizing model pipelines, and providing technical leadership. | Post-trainServe | 9 |
| Machine Learning Engineer - II Machine Learning Engineer with 10+ years of experience, including 3+ as a Lead/Architect, to architect and optimize large-scale generative AI model pipelines and backend services for Adobe Firefly. The role involves collaborating with researchers, providing technical leadership, and exploring new ML/MLOps technologies to improve GenAI engineering effectiveness. Requires strong hands-on experience with GenAI models and shipping ML features, with preferred experience in model training/optimization and conversion. | Post-trainServe | 9 |
| Principal Scientist - Applied Research, ASML (Multimodal Foundation Models) This role focuses on applied research for multimodal foundation models, specifically concerning the scaling, quality, and innovation of training data across image, video, and audio. The Principal Scientist will guide a team in architecture and training strategies, pioneer data ablations, lead research, optimize distributed training pipelines, and translate research into production models for Adobe's creative tools. | DataPost-train | 9 |
| Research Scientist - (applied research) Research Scientist role focused on Computer Vision and Machine Learning, with a strong emphasis on developing and deploying solutions that integrate into products. The role involves research initiatives, collaboration with product teams, designing evaluations, generating synthetic data, and manipulating complex datasets. Requires expertise in CV, LLMs, NLP, or multimodal understanding, with publications in top-tier conferences and a track record of production deployment. | Post-trainAgent | 9 |
| Machine Learning Engineer 5 Machine Learning Engineer at Adobe Firefly’s Generative AI Services team, focusing on building and optimizing scalable generative AI systems for integration into Adobe products. Responsibilities include designing inference pipelines, optimizing models, building APIs, and collaborating on model training and serving. | ServePost-train | 8 |
| Applied Scientist 4 Lead the development of next-generation generative AI capabilities for Adobe Creative Cloud, focusing on graphics and vector-based design workflows. This role involves transforming research into scalable, production-ready solutions, driving initiatives from exploration to productization, and impacting millions of creative users. | ShipServe | 8 |
| Applied Scientist 5.5 Lead the development of next-generation generative AI capabilities for Adobe Creative Cloud, focusing on graphics and vector-based design workflows. This role involves transforming research into scalable, production-ready solutions, driving initiatives from exploration to productization, and impacting millions of creative users. | ShipServe | 8 |
| Research Scientist Research Scientist at Adobe's Media and Data Science Research (MDSR) Laboratory, focusing on NLP, Computational Social Science, and ML to develop innovative solutions for future digital experiences. The role involves transforming research into products, building evaluations, generating synthetic data, and integrating ML models into Adobe's platforms. Requires a PhD and production deployment experience, with publications in top conferences. | Post-trainAgent | 8 |
| Machine Learning Engineer - 3 Machine Learning Engineer role focused on building and maintaining predictive models, optimization algorithms, and Agentic AI solutions for Adobe's advertising platform. The role involves developing production-ready features, working with large datasets and low latency requirements, and managing the full model lifecycle in a scalable production environment. | AgentServe | 8 |
| Sr. Machine Learning Engineer 5 This role focuses on engineering GenAI backend services for video, deploying ML models from experimentation to production, optimizing performance, and enhancing MLOps workflows. It requires expertise in Generative Video AI, model optimization, inference efficiency, and GPU acceleration for cloud-scale products. | ServePost-train | 8 |
| Senior Software Engineer (Python) – Gen AI Senior Software Engineer role focused on architecting and deploying production-grade AI systems, specifically Agentic AI workflows and RAG pipelines. Responsibilities include system architecture, GenAI implementation, model optimization (fine-tuning, prompt engineering), API development, and MLOps. Requires advanced Python, AI frameworks, vector databases, cloud platforms, data engineering, and DevOps skills. | AgentServe | 8 |
| Technical Architect (Python + AI) Technical Architect for Adobe Consulting's Brand Concierge Solution, a NextGen Conversational Agent. This hands-on role involves designing, building, and deploying production-grade agentic AI systems, owning end-to-end solution architecture, and leading delivery teams. Responsibilities include prototyping, code review, selecting LLMs and embedding strategies, and managing non-functional requirements like latency and cost optimization. | AgentServe | 8 |
| AI Innovation and Agent Engineer (Value Practice) This role focuses on designing and building AI agents that automate and augment end-to-end workflows, transforming creative and enterprise processes. The engineer will translate business problems into AI-driven solutions, develop ROI models, and prototype/iterate with users, partnering across teams to scale solutions. Experience building AI agents, copilots, or LLM-powered systems, strong systems thinking, and a commercial mindset are key requirements. | Agent | 8 |
| Er: 2026 Intern - Research Scientist / Engineer Adobe Research is seeking PhD students for an internship to pursue research problems, develop new algorithms, and produce prototypes, with the possibility of academic publication and application to Adobe's products. The role involves working in areas like AI & Machine Learning, Content Intelligence, and Intelligent Agents. | Pretrain | 8 |
| Computer Scientist-I/II This role focuses on developing and deploying low-latency, high-performance distributed ML services and systems for Adobe Document Cloud Services. The engineer will be responsible for the end-to-end lifecycle of these services, serving a large user base globally. | ServeAgent | 7 |
| Sr. Computer Scientist Senior Infrastructure Developer to own, evolve, and scale the platform powering demanding ML training and serving workloads. This role involves architecting Kubernetes-native systems, leading cross-geo projects, writing production-grade code (Go, Python, Rust), and ensuring the reliability and efficiency of large-scale GPU clusters. Focus on infrastructure as code, deep observability, and complex networking challenges within a multi-cloud environment. | Serve | 7 |
| Director, Product Management - Firefly Director of Product Management for Adobe Firefly Enterprise, focusing on Generative Video and Extensibility (Plugins/APIs). The role involves defining product strategy, leading a team, collaborating with engineering and other product teams, and shaping the integration of Firefly into enterprise workflows and third-party ecosystems. Requires extensive experience in product management leadership, video/media, platform/API development, and enterprise SaaS. | ShipAgent | 7 |
| Senior Engineering Manager Senior Engineering Manager at Adobe to lead a high-performing engineering team in developing next-generation multi-cloud services, focusing on AI-powered features for customers and internal productivity. The role involves technical leadership, product architecture, roadmap planning, and talent acquisition within the Digital Experience business unit. | Ship | 7 |
| Senior Director – Enterprise Intelligence, Analytics & Technology Operations This role leads an enterprise function focused on transforming how sales and operations teams use data, analytics, and technology, with an AI-first approach. It involves defining and executing an AI-first analytics ecosystem, modernizing data platforms, and scaling technology operations to drive growth and better decision-making. Key responsibilities include shifting from static reporting to AI-powered decision intelligence, embedding advanced analytics and AI into business workflows, and transforming technology support operations through intelligent automation and conversational AI. | AgentServe | 7 |
| Computer Scientist 2 Backend engineer to enable and accelerate Video APIs powered by machine learning models. Will work closely with ML researchers, bringing AI experiences to users by enabling large-scale productization through cloud-based services. Design and development of services/components, full lifecycle responsibility, collaborate with ML engineers on orchestration and inference workflows, build scalable cloud services with observability, build GPU-optimized model pipelines, work with distributed teams to build GenAI services/API for video workflows, partner with internal client teams and enterprise customers. | ServeAgent | 7 |
| Computer Scientist - II This role focuses on building Gen AI-powered concierge experiences for enterprise customers, involving scalable distributed systems, LLMs, RAG, and agentic workflows within Adobe Experience Cloud. | Agent | 7 |
| Senior Technical Consultant- Workfront Senior Technical Consultant for Adobe Workfront, focusing on designing and implementing AI-driven automation and content supply chain solutions for enterprise customers. The role involves integrating Workfront with other enterprise systems, architecting AI-augmented workflows using agentic frameworks, and guiding clients through complex integration needs. | Agent | 7 |
| Computer Scientist 2 (Frontend) This role is for a Computer Scientist 2 (Frontend) at Adobe, focusing on building new features and experiences for Adobe Express. The role involves full-stack development, including front-end (JavaScript, TypeScript, React), back-end (NodeJS, APIs), and cloud services (AWS). A significant part of the role involves integrating AI capabilities into product features and building agentic workflows for the SDLC, requiring careful design for safety, reliability, and performance. | Agent | 7 |
| Computer Scientist - Fullstack Full Stack Engineer with expertise in TypeScript, JavaScript, and Web Component Frameworks, responsible for end-to-end feature development, system design, and integrating AI capabilities into product experiences, specifically focusing on building multistage LLM pipelines and AI-powered content generation systems. | Agent | 7 |
| Principal Product Manager, Search & GenAI Principal Product Manager for Adobe's Search & Discovery team, focusing on AI-powered agentic search, recommendations, and generative AI for creative tools. The role involves driving product vision, planning, and execution across web, mobile, and desktop products, with a strong emphasis on integrating these AI capabilities to improve creative efficiency. Requires extensive experience in AI/ML product delivery, search technologies, and RAG. | Agent | 7 |
| Director of Engineering Director of Engineering at Adobe leading a senior engineering organization focused on large-scale, cloud-native platforms and AI/GenAI-powered capabilities. The role involves defining technical vision, leading design and delivery of distributed systems and microservices, and managing teams that build AI/GenAI features and improve engineering efficiency with AI. Requires deep expertise in distributed systems, cloud platforms, and a solid understanding of AI/GenAI. | Agent | 7 |
| Group Manager - Digital Accelerator, Centre of Excellence This role leads a Digital Accelerator CoE focused on driving AI-first and Agentic AI-led transformation across a global organization. The leader will operationalize the CoE vision by building reusable IP, accelerators, and delivery frameworks to ensure measurable customer value, faster implementations, and improved ROI. Key responsibilities include defining strategy, driving Agentic AI use cases, managing reusable assets, establishing a knowledge platform, standardizing delivery, tracking adoption and business outcomes, leading upskilling initiatives, and partnering with stakeholders. | Agent | 7 |
| Senior Director, Product Management Senior Director, Product Management for Adobe Illustrator, focusing on defining strategy and roadmap for AI-driven creative workflows and agentic capabilities to drive product growth and user engagement. | Ship | 7 |
| Computer Scientist 2 ( Python -GenAI ) Lead Engineer role focused on designing, developing, and deploying scalable GenAI solutions, including agents, applications, and microservices. Involves building data workflows, managing API infrastructure, implementing RAG patterns, and optimizing AI performance. Requires strong Python, cloud, and AI/ML infrastructure knowledge. | Agent | 7 |
| Agentic Outcome Engineer This role focuses on designing, building, and optimizing AI-powered agents to improve customer experiences with Adobe products. The engineer will own the full lifecycle of these agent systems, from development to continuous improvement, driving business impact through data-driven insights and collaboration. | Agent | 7 |
| Machine Learning Engineer 4 Machine Learning Engineer at Adobe responsible for developing, implementing, and operating scalable ML models, with a focus on Agentic AI solutions, predictive modeling, Reinforcement Learning, and Forecasting. The role involves end-to-end model lifecycle management, MLOps, performance tuning, production monitoring, and ensuring governance, security, and compliance for ML pipelines. | AgentData | 7 |
| Machine Learning Engineer 3 Machine Learning Engineer at Adobe responsible for developing and scaling deep learning algorithms in NLP and computer vision, with experience in RAG and GenAI systems. The role involves building efficient, reusable code and shipping ML-powered products and services. | ServeAgent | 7 |
| Product Manager (Advertising) Product Manager for AI & Optimization within a programmatic advertising platform, focusing on GenAI and agentic systems for campaign management and optimization. Requires experience in adtech and working with Data Science/Engineering on algorithmic products. | Agent | 7 |
| Senior Software Engineer (Python) – Gen AI Senior Software Engineer with Python and Generative AI expertise to lead the architecture and deployment of production-grade AI systems, focusing on LLMs, RAG, and Agentic workflows. Responsibilities include building scalable backend systems, implementing GenAI workflows, fine-tuning LLMs, developing APIs, managing data and MLOps, and providing technical leadership. | AgentServe | 7 |
| Senior Software Engineer (Python) – Gen AI Senior Software Engineer with Python and Generative AI expertise to lead the architecture and deployment of production-grade AI systems, focusing on LLMs, RAG, and Agentic workflows. Responsibilities include building scalable backend systems, implementing GenAI workflows, fine-tuning LLMs, developing APIs, managing data and MLOps, and providing technical leadership. | AgentServe | 7 |
| Senior Software Engineer (Python) – Gen AI Senior Software Engineer with Python and Generative AI expertise to lead the architecture and deployment of production-grade AI systems, focusing on LLMs, RAG, and Agentic workflows. Responsibilities include building scalable backend systems, implementing GenAI workflows, fine-tuning LLMs, developing APIs, managing data and MLOps, and providing technical leadership. | AgentServe | 7 |
| Group Product Manager Group Product Manager at Adobe to lead AEM Guides, focusing on integrating generative AI and ML into core product experiences for intelligent authoring, automation, content reuse, and improved search/recommendations. The role requires setting product vision, owning the roadmap, and delivering outcomes across growth, adoption, and customer satisfaction, while ensuring responsible AI practices. | Ship | 7 |
| Forward Deployed Engineer (Full-Stack + AI) This role focuses on the end-to-end development and launch of GenAI applications by integrating Adobe and third-party generative models. The engineer will embed with customer teams to build proof points rapidly, co-develop features, and bridge field-proven use cases back to the product roadmap. The role involves full-stack development, rapid prototyping, and scaling solutions with CI/CD pipelines and governance checks. | Agent | 7 |