Senior Machine Learning Engineer, Adobe Firefly Services

What you'll do

• Design and develop core GenAI services and APIs to integrate generative models into flagship products.
• Build ML workflows for enterprise-scale model customization, serving, and ecosystem integration.
• Build and optimize GPU-accelerated pipelines for model training and inference to ensure high performance.
• Develop efficient inference pipelines to optimize for latency and throughput.
• Integrate first-party and third-party generative models into the Adobe product suite.
• Set technical direction and mentor other machine learning engineers.
• Manage GPU resources and model orchestration in large-scale production environments.

What we're looking for

• MS or PhD in Computer Science, Machine Learning, or a related field, or equivalent industry experience.
• 4-7+ years of experience in machine learning, including production-scale deployments.
• 2+ years of experience leading large-scale, GPU-intensive GenAI systems for 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.
• Experience with model serving, inference, orchestration, and GPU resource management in large-scale environments (preferred).
• Hands-on expertise in Kubernetes, distributed systems, and MLOps platforms (preferred).