Adobe

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.

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.

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.

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.

Staff Applied Scientist focused on architecting and scaling AI guardrails and safety systems for generative models across multimodal platforms (image, video, audio). This role involves data-centric safety, detection, feedback-driven improvements, and translating research into production-ready systems, with a strong emphasis on ML systems architecture and responsible AI deployment.

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.

Research Scientist at Adobe Research focusing on generative world models for consistent world representations, long-horizon video and 3D generation, and interactive creative experiences. The role involves inventing algorithms, building prototypes, large-scale training, evaluation, and deployment, with potential integration into Adobe products. Requires a Ph.D. and significant research experience with a strong publication record.

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.

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.

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.

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.

Senior Machine Learning Engineer focused on building production pipelines and systems to improve deployed generative AI models using user feedback and behavioral signals. The role involves preference modeling, data processing, and evaluation infrastructure for multimodal generative workflows.

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.

Staff ML Engineer/Architect to build LLM-powered agents for personalization and real-time decisioning systems, architecting end-to-end ML systems including feature pipelines, training, and low-latency inference, and leading MLOps practices. This is a 0->1 opportunity to define agentic AI for enterprise personalization.

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.

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.

Technical Architect role focused on designing and architecting advanced assistant and agentic frameworks using LLMs, VLLMs, and MLLMs, with a specific emphasis on image and multimedia domains. The role involves overseeing technical strategy, collaborating with cross-functional teams, mentoring engineers, and transforming conceptual designs into production-ready solutions. Key responsibilities include defining the vision and roadmap for agent orchestration, tool usage, memory, and scalable evaluation.

Research Scientist role focused on developing and optimizing multimodal guardrail systems for generative AI models (like Adobe Firefly), specifically addressing IP compliance and safety through inference-time alignment, controllable generation, and advanced VLM techniques. The role involves research, experimentation, and collaboration to integrate these safety mechanisms into production-scale systems.

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.

Senior Applied Scientist at Adobe Firefly focusing on research and development for large-scale generative AI models for image and video synthesis. The role involves advancing conditional generation and editing techniques, improving model quality and controllability, and developing evaluation frameworks. This position emphasizes pre-training and mid-training of multimodal generative models, with the goal of shipping these innovations into Adobe products for millions of users.

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.

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.

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.

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.

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.

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.

Research Scientist role focused on Generative AI, specifically preparing data, training, fine-tuning, and adapting large foundation models across various modalities (images, video, 3D, LLMs, cross-modal). The role involves pioneering research and development for visual, audio, and multi-modal outputs, deploying new generative AI technologies into Adobe products, and researching novel large-scale foundation models with deep reasoning capabilities. Collaboration with researchers and ML engineers is expected, along with publishing work in scientific venues.

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.

Principal Machine Learning Engineer at Adobe Firefly, leading the development of scalable, high-performance generative AI systems for integration into Adobe products. Responsibilities include architecting and optimizing inference pipelines, building APIs, and providing technical leadership for a team of ML engineers. Requires extensive experience in production-scale GenAI deployments, particularly with training and inference optimization on GPU-intensive systems.

Research Scientist role focused on developing new music generation technology using generative AI, sequence modeling, multi-modal modeling, reinforcement learning, LLMs, diffusion, and distillation techniques. The goal is to push the state of the art and productize research for real-world impact in music creation.

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.

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.

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.

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.

Research Scientist focused on post-training, alignment, and distillation of large-scale generative AI models (image and video generation) for Adobe Firefly. Expertise in RLHF, DPO/GRPO, SFT, and distillation methods is required to improve model quality, efficiency, and safety, with a focus on transferring innovations into products.

Research scientist focused on conditional generation and editing of large multimodal generative AI models (images, videos, audio) for Adobe Firefly. Emphasizes large-scale pre-training and mid-training, with a direct impact on creative workflows for millions of users. Responsibilities include designing and implementing mid-training approaches, owning components like image-to-image editing, building captioning pipelines, supporting VLM finetuning, and developing scalable workflows for data curation and distributed training.

Principal Engineer AI/ML at Adobe, focusing on designing, building, and scaling AI/ML systems for GenStudio. The role involves framing product features as ML tasks, analyzing trade-offs, managing data, implementing research techniques, defining benchmarks, architecting scalable ML systems, and optimizing model deployment. Requires strong software engineering and ML/DL expertise, with experience in Python, PyTorch, and GPU/TPU environments.

Senior AI Agent Engineer role focused on designing, building, and maintaining intelligent agents for enterprise use cases like customer experience, discovery, support, and lead qualification. Responsibilities include agent development, multi-agent communication, workflow orchestration, lifecycle management, continuous improvement, and deployment. Requires experience with LLM frameworks, conversational agents in production, and cloud platforms.

This role focuses on designing, architecting, and implementing end-to-end GenAI and Agentic solutions for enterprise customers, integrating Adobe's existing platforms with new AI technologies. The Enterprise Architect will act as a technology leader, collaborating with various teams, advising customers, and rapidly prototyping solutions. The role emphasizes translating complex AI concepts into clear strategies and influencing both internal and external communities.

Director of Product Management for Adobe's Firefly Enterprise team, focusing on defining and driving the strategy for training generative AI models using enterprise brand assets. This role involves end-to-end ownership of the custom models experience, including user-facing features, integration into Adobe applications, and extending to new modalities. It requires leadership of a PM team, deep expertise in generative AI and MLOps, and close collaboration with research, engineering, and enterprise customers.

Senior Machine Learning Engineer to design, build, and scale agentic AI platforms and products for enterprise customer experiences and marketing campaigns, focusing on the AEP Agent Orchestrator.

Staff AI VFX Engineer at Adobe's Firefly Foundry, focused on integrating generative AI into high-end visual effects for feature films and episodic content. The role involves building and validating AI-driven VFX workflows, solving production challenges like temporal coherence and art-directable control, owning the integration surface with DCC tools (Nuke, Houdini, Maya, etc.), and implementing multi-modal model orchestration for image, video, animation, and 3D generation models. Requires deep fluency in VFX workflows and working knowledge of generative AI fundamentals, with a focus on shipping production-grade AI-driven assets.

Applied Scientist role focused on developing and fine-tuning large-scale foundation models for video understanding and generation, leveraging state-of-the-art Generative AI technologies. The role involves converting research ideas into production-ready code and collaborating with researchers and engineers.

Senior AI Systems Architect role focused on designing and architecting agent-based workflows, data pipelines, and orchestration systems for enterprise applications. This involves translating business needs into scalable AI solutions, defining RAG architecture, authoring technical specifications for LLM-based solutions, and collaborating with ML engineers and product teams.

This role focuses on building and optimizing scalable, high-performance generative AI systems, specifically for inference pipelines and integration into Adobe products. It involves designing and building ML workflows for model customization, serving, and ecosystem integration, with a strong emphasis on GPU-accelerated training and inference.

Senior Data Science Engineer role focused on building and operating production data and AI infrastructure for Adobe's Digital Experience business. The role involves creating LLM-powered agents, customer intelligence products, and reusable platform services, with a strong emphasis on data pipelines, feature workflows, and system reliability. The ideal candidate has deep data engineering experience, GenAI fluency, and platform thinking to ship reliable AI-enabled workflows into production.

Machine Learning Engineer at Adobe focused on designing, building, and optimizing backend services for ML and GenAI features, including agentic systems and orchestration. The role involves developing, evaluating, and deploying ML models, taking features from 0 to 1, and integrating solutions into production workflows. Requires strong Python software engineering, experience with production ML systems, and familiarity with cloud platforms.

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.

Senior Manager, Machine Learning to lead the Document Cloud AI Team at Adobe. The role involves driving innovation and building transformative document experiences using Gen AI and advanced technology, from concept to customer impact. Responsibilities include leading scientists and engineers, ensuring scalability and reliability, collaborating with stakeholders, fostering a positive team culture, and attracting top talent. Requires strong experience in generative AI, LLMs, ML model development, production deployment, agentic AI systems, MLOps, and cloud ML services.

Research Scientist/Engineer at Adobe focused on image generation/restoration, low-level vision, and image editing for Photoshop, with an eventual posture toward productization. Requires expertise in AI, ML, computer vision, and image processing, with a preference for experience in light transport, image formation, or physically based rendering, and leveraging synthetic 3D scene data.