Adobe
Sr Staff Machine Learning Engineer, Adobe Firefly Services
$190K–$346K
Seattle +1 · Senior Staff · Full-time · Posted Oct 15, 2026
- Location
- Seattle
San Jose - Experience
- 10+ years in machine learning, including production-scale deployments; 3+ years leading large-scale, GPU-intensive GenAI systems.
- Education
- MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience.
About the job
Builds and leads scalable generative AI services, APIs, and GPU-accelerated training and inference systems that integrate models into Adobe products.
What you'll do
- Design GenAI services and APIs and enterprise-scale workflows for model customization, serving, and integration.
- Collaborate with Adobe Research and model developers on inference strategies and productization; optimize GPU-accelerated training and inference pipelines.
- Set technical direction and mentor ML engineers while promoting technical excellence.
What they ask for
- MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience.
- 10+ years of machine learning experience, including production-scale deployments.
- 3+ years leading large-scale, GPU-intensive GenAI systems covering training, inference, and optimization.
- Experience with GenAI frameworks and tools; understanding of diffusion models, transformers, and GANs; strong communication and leadership skills.
Nice to have
- Experience with model serving, inference, orchestration, and GPU resource management at scale.
- Hands-on expertise in Kubernetes, distributed systems, and MLOps platforms.
Pay
$190,200 - $345,650 annually USD — base salary; $238,700 - $345,650 USD — base salary (California); $223,500 - $323,700 USD — base salary (Washington)
Tools
PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, Python, Kubernetes
AI focus
Builds and optimizes generative AI services, model customization workflows, and GPU-intensive training and inference systems.
Model-written summary · the original posting is authoritative