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About the Role

Join Adobe Firefly’s Generative AI Services team as a Senior Machine Learning Engineer to build scalable, high-performance generative AI systems powering features across Adobe products. You will design and develop inference pipelines, optimize models, and build APIs for integrating generative models into Adobe's suite of products, tackling complex engineering challenges and mentoring other engineers.

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.

Requirements

• 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.
• Good communication and leadership skills, with a track record of driving alignment in matrixed organizations.
• Experience with model serving, inference, orchestration, and GPU resource management in large-scale environments.
• Hands-on expertise in Kubernetes, distributed systems, and MLOps platforms.

Skills

• PyTorch
• CUDA
• Triton
• TensorRT
• Nvidia Dynamo
• Python
• Generative model architectures
• Diffusion models
• Transformers
• GANs
• Kubernetes
• Distributed systems
• MLOps platforms

Location

• U.S.

Work Type

• Full-time

Experience Level

• Senior
• 4-7+ years of experience in machine learning
• 2+ years of experience leading large-scale, GPU-intensive GenAI systems

Education Level

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

Salary/Compensations

• $151,800 -- $265,350 annually
• $183,300 - $265,350 (California)
• $165,600 - $239,725 (Washington)

Benefits

• Comprehensive benefits programs

About the Company

• Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences.
• Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
• Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth.
• We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact.
• At Adobe, we believe that great ideas can come from anywhere in the organization.
• Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Equal Opportunity

• 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.
• Learn more.
• Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
• Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as a part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
• At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
• 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.