Sr. Machine Learning Engineer – Adobe Firefly Services
| Company | Adobe |
|---|---|
| Location | Seattle, WA, USA, San Jose, CA, USA |
| Salary | $120700 – $228600 |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience.
- 7+ 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.
Responsibilities
- 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.
Preferred Qualifications
- Experience with model serving, inference, orchestration, and GPU resource management in large-scale environments.
- Hands-on expertise in Kubernetes, distributed systems, and MLOps platforms.