Machine Learning Engineer, Firefly Services

Adobe; Seattle (WA); On-site; USD 130,000 - 160,000; Full time

Job summary

Adobe is seeking a Senior Machine Learning Engineer for its Firefly GenAI Services in Seattle. The role involves designing scalable generative AI systems and integrating models into products like Photoshop and Illustrator. Ideal candidates will have an MS or PhD in Computer Science, 1-3 years of experience in machine learning, and expertise in GPU-accelerated systems. The position emphasizes communication and leadership within cross-functional teams and offers a chance to drive technical innovation.

Qualifications

• 1-3+ years of experience in machine learning with production-scale deployments.
• Experience leading large-scale, GPU-intensive GenAI systems.
• Solid understanding of generative model architectures.

Responsibilities

• Design and develop core GenAI services and APIs for Adobe's flagship products.
• Optimize GPU-accelerated pipelines for model training and inference.
• Collaborate with Adobe Research on model inference strategies.

Skills

Machine learning

GPU optimization

Model customization

Generative AI frameworks (PyTorch, CUDA)

Communication skills

Leadership skills

Education

MS or PhD in Computer Science or Machine Learning

Tools

PyTorch

CUDA

Kubernetes

TensorRT

Job description

Senior Machine Learning Engineer – Adobe Firefly GenAI Services

Adobe Firefly’s senior machine learning engineer role focuses on designing and developing scalable generative AI systems, building efficient inference pipelines, and integrating Adobe’s first‑party and third‑party models into flagship products such as Firefly, Photoshop, Illustrator, Express, Stock, and Premiere.

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 machine‑learning workflows for enterprise‑scale model customization, serving, and ecosystem integration.
• Collaborate with Adobe Research and other model developer teams to develop model inference strategies and productize 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.

Qualifications

• MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience.
• 1‑3+ years of experience in machine learning, including production‑scale deployments.
• 1‑3+ years of experience leading large‑scale, GPU‑intensive GenAI systems (training, inference, optimization).
• Experience with GenAI frameworks and tools such as PyTorch, CUDA, Triton, TensorRT, Nvidia Dynamo, and Python.
• Solid understanding of generative model architectures, including diffusion models, transformers, and GANs.
• Strong communication and leadership skills, with a track record of driving alignment in matrixed organizations.

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.

Equal Opportunity Statement

Adobe is an Equal Employment Opportunity employer and does not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.