About The Position

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The opportunity Adobe is seeking Senior Staff Applied Scientists who excel at turning research breakthroughs into innovative product features. In this role, you will focus on scouting, adapting, and improvising the latest research to advance Adobe’s AI capabilities in the field of Natural Language, Image/Video generation, editing, and multimodal AI that impact millions of users. We welcome outstanding candidates in all related technical fields, such as Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing, Large language models. Familiarity with inference optimization, performance trade-offs, and scalable integration will be an asset. We are looking for a candidate who is motivated by moving fast with research and innovation and wants their ideas to shape the future of Adobe products.

Requirements

  • Ph.D. or Masters or equivalent experience in Engineering, Computer Science, AI/ML or related fields and 10+ professional experience.
  • Research or industry experience in training AI/ML models in at least one of the following modalities: multimodal LLMs, Image, Video.
  • Proficiency in training and optimizing large-scale models, involving data curation, distributed training, and memory-efficient strategies.
  • Experience with post-training techniques such as fine-tuning, alignment or distillation.
  • Proficiency with modern deep learning frameworks (e.g., PyTorch) and experience scaling models on GPU/TPU clusters.
  • Excellent communication skills and a strong great teammate.

Nice To Haves

  • Experience on large-scale generative model training.
  • Experience on synthetic data generation.
  • Previous involvement with product teams in technology transfers.
  • Experience of working with large-scale datasets

Responsibilities

  • Transform innovative research concepts into practical applications within the realm of Generative AI, LLMs, Reinforcement learning, Reasoning, Evaluations.
  • Prototype and experiment rapidly, demonstrating feasibility and business impact.
  • Push beyond academic results to develop and deploy practical, differentiated innovations for Adobe’s products.
  • Collaborate with world-class researchers and ML engineers to bring research ideas to production.
  • Publish and present your work in world-class scientific venues in AI/ML fields.
  • Develop and enhance GPU-accelerated pipelines for (customized) model training and inference, focusing on performance, scalability, and reliability.
  • Foster a culture of innovation, technical excellence, and continuous improvement across the organization.

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

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