Adobe

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.

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 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 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 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.

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.