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.

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 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.

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.

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 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 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.

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.

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.

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.

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.

Research Scientist role focused on large-scale pre-training and mid-training of multi-modality generative AI models for image and video synthesis, with an emphasis on improving instruction compliance, controllability, and visual clarity. The role involves conducting innovative research, developing sophisticated techniques, collaborating cross-functionally, and translating research into production-ready implementations for Adobe's creative products.

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.

This role leads a distributed team focused on Generative AI for Adobe Firefly Foundry, an enterprise-grade managed service. Responsibilities include defining strategy for data acquisition, processing, and quality, enabling multi-modal content generation, and building scalable data, pre-training, and post-training pipelines. The role requires deep understanding of ML data lifecycles, expertise in data quality and governance, and proficiency with cloud technologies, with a focus on ethical AI practices and leading a team through the full ML model lifecycle from research to customer impact.

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.

Director to lead Multimodal Data Research organization responsible for scaling, quality, and innovation in multimodal training data (image, video, audio) for Adobe Firefly's foundational generative and editing models. The role involves setting vision, leading multiple senior teams, and orchestrating execution across data ingestion, filtering, captioning, generation, editing-centric datasets, and data-driven training experiments.

Adobe Research is seeking PhD or master's students for an internship to pursue research problems, develop new algorithms, run experiments, and produce prototypes, with the possibility of academic publication and application to Adobe's products. The role involves working with innovative Machine Learning algorithms and web-scale data.

Internship opportunity within Adobe Firefly's applied research organization focusing on AI and generative technologies. The role involves pioneering data, models, applications, and scientific evaluation for images, videos, language, and multimodal models, contributing to both research and product development.

Senior Applied Researcher at Adobe to leverage Generative AI and Machine Learning for customer experience optimization, focusing on audience creation, journey optimization, and personalization. The role involves developing cutting-edge models, building generative AI-powered applications, and providing technical leadership in design, deployment, and operations. Requires a PhD/MS with 10+ years of applied research experience, including deploying models into production, and expertise in LLMs and prompt engineering.