Design and development 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 models.
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.
10+ years of experience in machine learning, including production-scale deployments.
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.

Senior Machine Learning Engineer

Key skills