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.

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 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.

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.

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.

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.

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.

Senior Machine Learning Engineer at Adobe Journey Optimizer B2B, focusing on AI-powered customer journey orchestration. The role involves training and fine-tuning ML models, architecting ML pipelines, and contributing to the deployment and production operations of ML models and systems. Experience with generative AI, LLMs, fine-tuning, and MLOps is required, with a preference for RAG, agentic workflows, and personalization use cases.

Sr. Applied Scientist at Adobe focused on improving the quality and controllability of generative multimodal models, specifically in mid-training capabilities for image and video editing. The role involves designing and implementing training pipelines, identifying quality gaps, developing data curation and distributed training workflows, and optimizing inference for production environments.

This role focuses on developing and implementing ML models for search, recommendations, and generative AI use cases within Adobe's creative suite. It involves fine-tuning LLMs and Diffusion models, optimizing inference, and processing multimodal data to assist users and recommend assets. The role also includes research into novel LLM architectures and evaluation methods.

Applied Scientist at Adobe focused on transforming research breakthroughs in Generative AI, LLMs, and multimodal AI into innovative product features for millions of users. The role involves scouting, adapting, and improvising the latest research, prototyping, and deploying practical innovations, with a strong emphasis on training and optimizing large-scale models, including post-training techniques and GPU-accelerated pipelines for both training and inference.

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.

This role focuses on post-training and distillation of large generative AI models for images and videos, aiming to improve quality, efficiency, and deployability. Responsibilities include developing distillation pipelines, refining post-training methods (SFT, DPO, GRPO, reward-based learning), building infrastructure for training workflows, and optimizing models for deployment efficiency. The role collaborates with researchers and engineers to adapt complex models into efficient production versions.