Sr. Applied Scientist
Core
Design and implement end-to-end training pipelines to improve editing quality for generative multimodal models (images and videos) at Adobe.
Role type
Senior Applied Scientist (Generative AI / Mid-training)
Builds
Scalable workflows for data curation, data quality improvements, and distributed training for generative AI models.
Domain
Generative AI, Multimodal Models, Computer Vision
Deliverable
production ML models
Required skills
Mid-training and continual pre-training of large-scale multimodal models, Diffusion-based architectures (DiT), Vision-Language Models (VLMs), contrastive learning, multimodal alignment, distributed training, model inference optimization
Preferred skills
Master's degree or Ph.D. in Computer Science, Machine Learning, or related field
Technologies
DiT, VLMs
Responsibilities
Design and implement end-to-end training pipelines for image and video editing; Lead core development for mid-training areas; Identify quality gaps and propose solutions; Develop scalable workflows for data curation and distributed training; Increase engineering velocity by systematizing experimentation; Partner with research, data, and infrastructure teams; Mentor junior engineers
Seniority
Senior, hands-on IC
