About this role

Design and evelopment of core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products.
Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
Collaborate with Adobe Research and other model developer teams with a focus on model inference strategies and productization of those model.
Build and optimize GPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability.
Foster a culture of innovation, technical excellence, and continuous improvement across the organization.

MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience.
1-3+ years of experience in machine learning, including production-scale deployments.
1-3+ years of experience leading large-scale, GPU-intensive GenAI systems (training, inference, and optimization).
Experience with GenAI frameworks and tools such as PyTorch, CUDA, Triton, TensorRT , Nvidia Dynamo, and Python .
Good understanding of generative model architectures, including diffusion models, transformers, and GANs .
Good communication and leadership skills, with a track record of driving alignment in matrixed organizations.

Machine Learning Engineer

Key skills