Machine Learning Engineer, Firefly Services

Adobe Inc.; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Adobe Inc. is seeking a Senior Machine Learning Engineer for their Generative AI Services team in Seattle, WA. This role involves creating scalable generative AI systems that enhance Adobe products, including Photoshop and Illustrator. The ideal candidate will have a master's or PhD in a related field, 1-3 years of hands-on ML experience, and expertise in GenAI frameworks like PyTorch and Kubernetes. The position encourages innovation and leadership within a collaborative environment.

Qualifications

• 1-3+ years of experience in machine learning, including production-scale deployments.
• 1-3+ years of experience leading large-scale, GPU-intensive GenAI systems.
• Good understanding of generative model architectures, including diffusion models, transformers, and GANs.

Responsibilities

• Design and develop core GenAI services and APIs integrating generative models into Adobe's flagship products.
• Build ML workflows for enterprise-scale model customization and integration.
• Collaborate with Adobe Research on model inference strategies.

Skills

Machine Learning

Generative AI

Leadership

PyTorch

CUDA

TensorRT

Kubernetes

Python

Education

MS or PhD in Computer Science, Machine Learning, or related field

Tools

GenAI frameworks

Nvidia Dynamo

Job description

Adobe Firefly's Generative AI Services team is seeking Senior Machine Learning Engineers for our GenAI Services area. In this high-impact role, you will work with a team of talented engineers building scalable, high-performance generative AI systems that power features across Adobe products such as Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency and throughput, and build APIs and ecosystems that integrate Adobe’s first‑party and third‑party generative models into the Adobe suite of products serving individual and enterprise customers. You will tackle Adobe’s most complex engineering challenges, set technical direction, and mentor other ML engineers.

Job Responsibilities

• Design and develop core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products.
• 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 both customized training and inference, prioritizing performance, scalability, and reliability.
• Foster a culture of innovation, technical excellence, and continuous improvement across the organization.

What You'll Need to Succeed

• 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, 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.
• 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 Employment Opportunity Statement

Adobe is proud to be an Equal Employment Opportunity employer. We do 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.