Sr Machine Learning Engineer, Adobe Firefly Services

Adobe Inc.; San Jose (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

Adobe Inc. is looking for a Senior Machine Learning Engineer to join the Firefly's Generative AI Services team in San Jose, CA. You will design and develop scalable GenAI services, collaborating across teams to integrate advanced generative models into Adobe products like Photoshop and Illustrator.

Ideal candidates will have a MS or PhD in a related field, with 4–7 years of experience in machine learning. Strong skills in GPU acceleration and generative AI frameworks are key. Adobe values diversity and is an equal opportunity employer.

Qualifications

• 4–7+ years of experience in machine learning, including production-scale deployments.
• 2+ years of leading large-scale, GPU-intensive GenAI systems.
• Strong communication and leadership skills.

Responsibilities

• Design and develop core GenAI services and APIs.
• Build and optimize GPU-accelerated pipelines.
• Collaborate with research and model development teams.

Skills

Machine Learning

GPU acceleration

Generative AI tools

Communication skills

Education

MS or PhD in Computer Science or Machine Learning

Tools

PyTorch

CUDA

Kubernetes

TensorRT

Job description

Position Overview

Adobe Firefly's Generative AI Services team is seeking Senior Machine Learning Engineers for the GenAI Services area. In this high‑impact role you will work with engineers to build scalable, high‑performance generative AI systems powering features across Adobe products such as Firefly, Photoshop, Illustrator, Express, Stock, and Premiere.

Job Responsibilities

• Design and develop core GenAI services and APIs that integrate a wide range of generative models into Adobe products.
• Design and build ML workflows for enterprise‑scale model customization, serving, and ecosystem integration.
• Collaborate with Adobe Research and other model developer teams on model inference strategies and productization.
• 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.

Required Qualifications

• MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience.
• 4–7+ years of experience in machine learning, including production‑scale deployments.
• 2+ 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 aligning across 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

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

State‑Specific Notices

California Fair Chance Ordinances: Adobe will consider qualified applicants with arrest or conviction records in accordance with state and local laws and fair‑chance ordinances.

Colorado Application Window Notice: If the role lists Colorado as a hiring location, the application window remains open until the stated date and time in Pacific Time, unless the posting closes earlier on hiring needs.

Massachusetts Legal Notice: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.