Sr Staff Machine Learning Engineer, Adobe Firefly Services
About The Position
Adobe Firefly’s Generative AI Services team is seeking a Senior Staff Machine Learning Engineer to build scalable, high-performance generative AI systems that power features across Adobe products, including Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. The role involves designing efficient inference pipelines, optimizing models for latency and throughput, and building APIs and ecosystems that integrate Adobe first-party and third-party generative models into products serving individual and enterprise customers. The engineer will address complex engineering challenges, set technical direction, and mentor other ML engineers.
Requirements
- 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 covering 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.
Nice To Haves
- Experience with model serving, inference, orchestration, and GPU resource management in large-scale environments.
- Hands-on expertise in Kubernetes, distributed systems, and MLOps platforms.
Responsibilities
- Design and develop 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, focusing on model inference strategies and productization.
- Build and optimize GPU-accelerated pipelines for customized model training and inference, prioritizing performance, scalability, and reliability.
- Foster a culture of innovation, technical excellence, and continuous improvement across the organization.
- Set technical direction and mentor other ML engineers.
Benefits
- Comprehensive benefits programs.
- Certain roles may be eligible for a new hire equity award.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
