Senior Applied Scientist / Engineer, Training & Inference
Core
Technical owner for the training-to-deployment pipeline of Adobe's next-generation video and image foundation models, bridging research clusters to reliable production.
Role type
Senior Applied Scientist / Engineer (Training & Inference)
Builds
Large-scale video and multimodal generative models (e.g., diffusion models) for Adobe products.
Domain
Generative AI, Video/Image Processing, Cloud Infrastructure
Deliverable
production ML models
Required skills
Distributed training (PyTorch FSDP, Tensor/Pipeline Parallelism), Inference optimization, Python, PyTorch, GPU efficiency, Production deployment, Cross-team collaboration
Preferred skills
Video/image/multimodal generative model deployment, TensorRT/vLLM, Performance profiling, Generative AI shipping track record
Technologies
PyTorch, FSDP, TensorRT, vLLM, GPU clusters
Responsibilities
Own training-to-deployment pipeline components, Implement distributed training strategies, Design and optimize inference/serving systems, Operationalize models at scale, Address training/inference inefficiencies, Partner with research and engineering teams
Seniority
Senior, hands-on IC
