Adobe
- HQ
- San Jose, US
- Founded
- 1982
- Size
- 25,000+
- Website
- adobe.com
Currently tracking 218 active AI roles, down 51% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $114k–$397k (avg $221k).
Adobe has 306 active job listings related to artificial intelligence. The majority of these roles, 47%, are focused on agents, with application-focused roles making up another 25%. Engineering is the primary function for these positions, with the United States being the dominant hiring country. Frequent technical tags include model serving, agent orchestration, and fine-tuning, suggesting a focus on deploying and managing AI models.
Adobe currently has 291 active AI-related roles in our index. The most common open titles are: Senior Software Development Engineer (10), Machine Learning Engineer (7), Machine Learning Engineer 4 (5), Principal Product Manager (5), Machine Learning Engineer 5 (4). Most positions are in Engineering and Product.
Adobe's active AI hiring is concentrated in: agents (48%), application (25%), serving infrastructure (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Adobe is hiring AI talent in: United States (226 roles), India (44 roles), Romania (17 roles), United Kingdom (2 roles).
Job postings at Adobe most frequently reference: model serving, agent orchestration, fine tuning, llm observability, multimodal.
In the past 30 days, Adobe has posted 70 new AI-related roles. That is a -55% change versus the prior 30 days (156 → 70).
| Title | Stage | AI score |
|---|---|---|
| Staff Agentic ML Engineer - Photoshop Staff ML Engineer at Adobe, focusing on building advanced AI platforms for creative workflows. The role involves designing and implementing reasoning systems, tool orchestration, and multimodal integrations using LLMs and VLMs. Key responsibilities include LLM post-training, agent system architecture, practical agent development, image generation/editing with multimodal AI, and building evaluation frameworks. Requires expertise in LLMs, fine-tuning, agentic systems, and evaluation frameworks, with a strong foundation in ML and software engineering. | AgentPost-train | 9 |
| Applied Scientist 5.5 This role focuses on designing, training, and fine-tuning large-scale diffusion models for image, video, and multimodal generation tasks, and building production-grade pipelines for computer vision tasks. It involves optimizing models for inference, defining evaluation frameworks, and shipping ML models to production. |
| Post-trainServe |
| 9 |
| Applied Scientist 5 Senior Machine Learning Engineer with expertise in generative modeling (diffusion models) and computer vision to join Adobe's Applied AI team. The role involves architecting and shipping state-of-the-art diffusion-based models, driving applied research into production, and mentoring engineers. Responsibilities include designing, training, and fine-tuning diffusion models for image/video generation, improving sampling efficiency, building production pipelines for image/video understanding, owning the ML lifecycle, optimizing models for inference, and designing scalable training infrastructure. The role also involves defining evaluation frameworks and leading technical design reviews. | Post-trainServe | 9 |
| Machine Learning Engineer 5 Machine Learning Engineer to build and ship LLM-powered systems simulating consumer audiences for pre-testing ads and content. Develops inference and reasoning harnesses on LLMs, fine-tunes LLMs on data, and builds evaluation datasets and benchmarks. Requires substantial hands-on experience with LLM applications in production, including agentic systems, fine-tuning, and RLHF/RLAIF. Experience with MLOps and cloud ML services is needed. The role focuses on bringing cutting-edge AI research in synthetic audiences into a production product. | AgentPost-train | 9 |
| Machine Learning Engineer 5 Machine Learning Engineer to build and ship LLM-powered systems simulating consumer audiences for pre-testing ads and content. Develops inference and reasoning harnesses on LLMs, fine-tunes LLMs on data, and builds evaluation datasets and benchmarks. Requires substantial hands-on experience with LLM applications in production, including agentic systems, fine-tuning, and RLHF/RLAIF. Experience with MLOps and cloud ML services is needed. The role focuses on bringing cutting-edge AI research in synthetic audiences into a production product. | AgentPost-train | 9 |
| Principal Scientist - Agentic Product Principal Scientist to lead the end-to-end technical architecture and production buildout of Adobe's Agentic Product, focusing on LLM integration, agentic reasoning, and full-stack delivery across platforms. The role involves driving hands-on implementation, championing AI-assisted engineering practices, and collaborating across teams to ensure quality, reliability, and responsible AI. | AgentServe | 9 |
| Director, ML Engineering Director, ML Engineering for Adobe's Firefly Foundry, an enterprise managed-service for custom multimedia generative AI. This role owns the engineering function for model productionization, serving, and operation at enterprise scale, focusing on inference, cost-to-serve, tenancy, and self-serve capabilities. The role involves leading a multi-team engineering organization, defining technical strategy for training and inference, and ensuring production reliability and economics. | ServePost-train | 9 |
| Senior Machine Learning Engineer, Firefly Foundry ML infra engineer to build and optimize infrastructures for large foundation model training on thousands of GPUs, including data processing, PyTorch training, and GPU optimizations with custom CUDA kernels. Focus on generative AI for text, images, and videos. | DataServe | 9 |
| Sr Applied Scientist, Generative AI/ML This role focuses on conducting research and development in Generative AI for visual, audio, and multi-modal outputs, with a strong emphasis on preparing data, training, fine-tuning, and adapting large foundation models. The scientist will develop and deploy novel generative AI technologies into Adobe products, publish research, and collaborate with other researchers and ML engineers. | Post-trainPretrain | 9 |
| Staff Applied Scientist Staff Applied Scientist at Adobe focused on building foundational generative multimodal models (image and video) through end-to-end training pipelines, data curation, and distributed training. The role involves leading core development in pre-training areas, partnering with research and other teams, and improving model quality and controllability. Requires strong expertise in Vision-Language Models and diffusion-based architectures, with an emphasis on publications and industry experience. | PretrainPost-train | 9 |
| Research Scientist Research Scientist role at Adobe focused on Generative AI, specifically large-scale foundation models like diffusion models. Involves research, development, and technology transfer to products, with a strong emphasis on publication in AI/ML venues. Requires a Ph.D. and excellent publication record. | PretrainPost-train | 9 |
| Director, Engineering – Agentic Product Director of Engineering for Adobe's Agentic Product, focusing on leading the technical execution of an AI-native experience for creators. The role involves defining, building, and shipping agentic experiences, ensuring end-to-end product quality, and growing the engineering team. Requires strong experience in AI/ML product engineering, LLM APIs, agent frameworks, and shipping user-facing AI products at scale. | Agent | 9 |
| Senior Research Engineer, Generative Prototyping Senior Research Engineer role focused on pioneering Generative AI video authoring, inventing and prototyping next-generation creative workflows. The role involves integrating multimodal models into agentic workflows and building user-facing GenAI experiences for creative tools, with a strong emphasis on bridging research and productization. | AgentServe | 9 |
| 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 Staff Machine Learning Engineer, Adobe Firefly Services Senior Staff Machine Learning Engineer at Adobe focused on building and optimizing scalable, high-performance generative AI services and inference pipelines for integration into Adobe products. The role involves designing GenAI services, APIs, and ML workflows for model customization and serving, with a strong emphasis on GPU-accelerated training and inference optimization. | 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 |
| Staff Applied Scientist, Generative AI/ML Staff Applied Scientist role focused on Generative AI research and development for visual, audio, and multi-modal outputs. The role involves pioneering research, developing novel generative AI technologies, and training/fine-tuning large foundation models across various modalities. Emphasis on publishing research and collaborating with ML engineers to integrate technologies into Adobe products. | Post-trainPretrain | 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, Generation Data Architect (Image & Video & Audio) Principal Scientist to shape the data strategy for Adobe Firefly's multimodal foundation models (image, video, audio), focusing on sourcing, curation, and training large-scale visual data to improve generative model quality, controllability, and realism for millions of users. This senior IC role involves cross-functional collaboration with research, engineering, and product teams. | DataPost-train | 9 |
| AI Software Architect, Forward Deployed This role is for an AI Software Architect focused on Forward Deployed Engineering for enterprise customers. The individual will own system design, platform standards, and technical relationships with large enterprise clients, transforming their content supply chains with generative AI. Responsibilities include designing end-to-end GenAI systems (RAG pipelines, agent orchestration, API integrations), establishing reusable patterns, shipping production code (minimum 40% hands-on), interfacing with C-level customers, driving product feedback, and mentoring engineers. The role requires experience building and shipping production GenAI products, a deep AI/ML engineering foundation, strong production engineering rigor, and executive communication skills. | AgentServe | 9 |
| Sr Machine Learning Engineer 5 -- AEP, Agentic System Senior Machine Learning Engineer to build and operate scalable intelligent AI systems for end-user AI products, focusing on agentic systems including orchestration, tool integration, retrieval, memory, evaluation, safety/guardrails, and high-performance backend systems. The role involves end-to-end architecture ownership, building AI-powered product capabilities, designing agent orchestration, developing core platform components (RAG, memory), establishing safety/governance/MLOps, and providing technical leadership. | Agent | 9 |
| Research Scientist Research Scientist role at Adobe focusing on Generative AI, specifically large-scale foundation models and diffusion models. Involves cutting-edge research, development of novel technologies, and potential transfer to products. Requires a Ph.D. and strong publication record in AI/ML. | PretrainPost-train | 9 |
| Senior ML Engineer - Firefly Senior ML Engineer at Adobe Firefly team, focusing on adapting large-scale pretrained multimodal generative models (image, text, video) for creative products. Responsibilities include research, prototyping, integrating new techniques, building end-to-end pipelines, and contributing to data strategy and user workflows. Requires strong ML engineering, deep learning, generative model, and Python skills, with experience in large-scale ML pipelines from training to inference. | Post-trainServe | 9 |
| Senior Staff Applied Scientist - AI/ML Senior Staff Applied Scientist role at Adobe focusing on transforming AI/ML research breakthroughs into innovative product features for Generative AI, LLMs, and multimodal AI. The role involves scouting, adapting, and improvising research, prototyping, rapid experimentation, and deploying practical innovations for Adobe's products. Responsibilities include developing and enhancing GPU-accelerated pipelines for model training and inference, collaborating with researchers and ML engineers, and publishing work. Requires a Ph.D. or Masters with 10+ years of experience in AI/ML, with expertise in training AI/ML models in multimodal LLMs, Image, or Video, proficiency in training and optimizing large-scale models, and experience with post-training techniques like fine-tuning and alignment. | Post-trainServe | 9 |
| Machine Learning Engineer Machine Learning Engineer at Adobe to build advanced AI platform for creative workflows, focusing on reasoning systems, tool orchestration, and multimodal integrations using LLMs and VLLMs. The role involves post-training and evaluation of LLMs, designing and implementing agent system architectures, and developing practical agents for image generation and editing within flagship products like Photoshop and Lightroom. | AgentPost-train | 9 |
| Senior Applied Scientist Senior Applied Scientist at Adobe focused on improving the quality and controllability of generative multimodal models (images and videos). The role involves designing and implementing end-to-end training pipelines for foundational models, leading core development in pre-training areas, and developing scalable workflows for data curation and distributed training. Collaboration with research, data, evaluation, infrastructure, pre-training, and post-training teams is key to enhancing editing quality, instruction-following, visual fidelity, and edit consistency. | PretrainPost-train | 9 |
| Applied Scientist Research Scientist role focused on training large-scale generative AI models for image and video synthesis, emphasizing conditional generation, editing, and improving instruction compliance, controllability, and visual clarity. The role involves collaborating cross-functionally, developing evaluation pipelines, and translating research into production-ready implementations. | Post-trainPretrain | 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 |
| Senior Research Scientist Senior Research Scientist at Adobe Speech AI Lab focusing on speech generative AI, audio modeling, and multimodal learning. The role involves leading independent research, designing and advancing state-of-the-art AI models and training procedures, including foundation models and generative systems. Emphasis on modern large-scale model architectures, publishing research, and building prototypes for product integration. | Post-trainPretrain | 9 |
| Applied Scientist, Generative AI/ML Research scientist role focused on generative AI for visual, audio, and multi-modal outputs. Involves pioneering research, development, and deployment of novel generative AI technologies, including large-scale foundation models with deep reasoning capabilities. Requires expertise in training and fine-tuning models across various modalities and proficiency in deep learning frameworks. | Post-trainPretrain | 9 |
| Research Scientist Research Scientist role at Adobe Research focusing on Generative AI, including large-scale foundation models, diffusion models, and multimodal foundation models. The role involves conducting cutting-edge research, developing novel technologies, and transferring them to products. Requires a Ph.D. and strong publication record in AI/ML. | PretrainPost-train | 9 |
| Principal Architect, Express AI Foundations Principal Architect to build and implement the AI framework for Adobe Express, merging strong ML skills with proficiency in distributed systems, data architecture, and large-scale service development. This role blends applied research and engineering leadership, focusing on Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI, spanning model orchestration, inference systems, data pipelines, caching and storage layers, session analytics, and continuous evaluation frameworks. | AgentServe | 9 |
| Chief Architect for Adobe Intelligence Platform Seeking a Sr. Principal Architect to lead the design, build, and evolution of the Adobe Intelligence Platform, an AI infrastructure enabling agentic experiences across Adobe products. The role involves hands-on technical leadership, defining system boundaries, and driving execution for a platform encompassing agentic orchestration, model gateways, knowledge graphs, and planning/reasoning layers at enterprise scale. | AgentServe | 9 |
| Machine Learning Engineer 5 Machine Learning Engineer at Adobe to own ML features from model development through production release, focusing on creative understanding across vision, video, and language. The role involves training and improving models, designing data, training, and inference systems, and shipping ML features for enterprise customers. | Post-trainServe | 8 |
| Manager, Applied Science for Data Manager for Applied Science leading a team focused on the training data ecosystem for generative AI models (imaging, video). Responsibilities include strategy, pipelines, curation, annotation, quality, and collaboration with researchers and ML engineers. Requires experience in ML data lifecycles, generative AI data science, synthetic data, and large-scale multimodal datasets. | Data | 8 |
| Machine Learning Engineer 4 Machine Learning Engineer with experience in Generative AI, responsible for designing, deploying, and scaling production-ready ML models for Adobe Photoshop. The role involves partnering with cross-functional teams to develop user-facing AI features and drive innovation in digital imaging and creative AI. | Ship | 8 |
| Principal Applied Scientist Principal Applied Scientist to define how structured knowledge and foundation models work together at scale, architecting next-generation graph-driven search, hybrid retrieval, and grounded generative systems for Adobe's creative ecosystem. The role involves building and evolving large-scale knowledge-grounded systems, spanning hybrid neural-symbolic retrieval and ranking, structured intent modeling, multimodal representations, and graph-grounded RAG/agentic systems. It also includes defining evaluation frameworks, establishing standards, and mentoring senior scientists. | AgentServe | 8 |
| Computer Scientist ( Python ) Senior Software Developer with Python and Generative AI expertise to architect and deploy production-grade AI systems, focusing on LLMs, RAG, and Agentic workflows. Responsibilities include system architecture, GenAI implementation, model optimization (fine-tuning, prompt engineering), API development, data engineering, and MLOps. Requires advanced Python, AI frameworks, vector databases, cloud platforms, data engineering, and DevOps skills. | AgentPost-train | 8 |
| Computer Scientist - II This role focuses on designing, building, and deploying Agentic AI solutions and LLM-powered applications, including multi-agent systems and RAG. It involves fine-tuning models, building scalable backend services and APIs, and establishing evaluation and observability frameworks for production-grade AI systems within an enterprise context. | AgentPost-train | 8 |
| Forward-Deployed AI Engineer - Marketing Analytics & Data Science This role focuses on embedding AI engineers within marketing teams to build tools and automations, transforming workflows with agentic AI at the center. The engineer will prototype solutions, gather feedback, and share learnings across the organization, measuring success by improved user workflows. | Agent | 8 |
| Forward-Deployed AI Engineer This role is for a Forward-Deployed AI Engineer embedded within a marketing team to rebuild workflows with agentic AI at the center. The engineer will build tools and automations, prototype solutions, and share learnings to scale good ideas across the organization, ultimately aiming to improve how people work. | Agent | 8 |
| Machine Learning Engineer Machine Learning Engineer to build AI systems for Adobe Journey Optimizer's autonomous operating system, focusing on improving product quality, accelerating issue resolution, and enhancing customer experience through intelligent automation and continuous learning. The role involves building LLM-based workflows, knowledge systems using vector embeddings, and integrating AI capabilities with production infrastructure. | Agent | 8 |
| Senior Applied Researcher Senior Applied Researcher at Adobe Express focused on building innovative machine learning models for Generative AI and Agentic scenarios. The role involves developing and deploying advanced ML models in computer vision, NLP, and multimodal learning, contributing to foundational AI systems, and integrating ML components into Adobe's Horizon AI Stack. Responsibilities include the end-to-end ML lifecycle, from experimentation to production deployment, and designing evaluation strategies. | AgentPost-train | 8 |
| Engineering Manager, Express AI Foundations Engineering Manager to lead a team building the AI infrastructure for Adobe Express, focusing on Agentic AI, Imaging AI, Motion AI, and Personalization AI. The role involves technical leadership, people management, and owning the delivery of the AI stack including LLM orchestration, inference services, data pipelines, and evaluation frameworks. | ServeAgent | 8 |
| Principal Product Manager, Research and AI - Foundations Principal Product Manager for Adobe's Research and AI team, focusing on defining and advancing foundational generative AI capabilities in image and video for Adobe's creative products. The role involves working with researchers, defining roadmaps, setting quality benchmarks, and translating customer needs into product requirements, with a strong emphasis on delivering market-ready capabilities and building evaluation frameworks. | ShipPost-train | 8 |
| Senior Full Stack Engineer – Agentic Product Senior Full Stack Engineer to build an AI-native agentic product across the full stack, integrating LLMs, agentic reasoning, and production infrastructure for Adobe's creative platforms. The role involves hands-on implementation, championing AI-assisted engineering practices, and collaborating across teams to ensure quality and scalability. | AgentServe | 8 |
| Machine Learning Engineer -4 – Agentic AI & Personalization Machine Learning Engineer focused on building agentic AI systems for enterprise personalization, involving LLM-powered agents, recommendation systems, and end-to-end ML pipeline architecture including low-latency inference and MLOps. | AgentServe | 8 |
| Senior Engineering Manager – Agentic Product Lead a team of engineers building Adobe's Agentic Product, an AI-native experience integrating generative models and creative intelligence for creators. This hands-on leadership role involves daily execution, team growth, and shipping quality agentic experiences across Adobe's surfaces, partnering with Product Management and collaborating with platform teams. | Agent | 8 |
| Senior Software Development Engineer, Agent Workflows, Firefly Boards Senior Software Development Engineer to own the workflow layer for Firefly Boards' agentic capabilities. This role focuses on building and managing the agent workflows, including safety, quality, and cost controls, and ensuring survivability across interruptions. The primary focus is on the application layer that runs on top of the agent platform. | Agent | 8 |