Applied Scientist

Adobe•San Jose, CA

About The Position

The opportunity Adobe is seeking 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. At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Requirements

Ph.D. or Masters or equivalent experience in Engineering, Computer Science, AI/ML or related fields and 7+ 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.
4-7 years of experience in relevant fields.

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.