Sr Staff Machine Learning Engineer, Adobe Firefly Services Job at Adobe Inc. in

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 in building scalable, high-performance generative AI systems – powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency at inference, and build APIs and ecosystems that integrate both Adobe's first‑party and third‑party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobe's most complex engineering challenges at the forefront of the industry, set technical direction, and mentor other ML engineers.

Job 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.

What You'll Need to Succeed

• MS or PhD in Computer Science, Machine Learning, or a related field – or equivalent industry experience.




• 10+ 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.

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.

Expected Pay Range

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $190,200 – $345,650 annually. Pay within this range varies by work location and may also depend on job‑related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $238,700 – $345,650.

In Washington, the pay range for this position is $223,500 – $323,700.

In addition, certain roles may be eligible for long‑term incentives in the form of a new hire equity award.

AI Use Guidelines for Interviews

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 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.

Equal Employment 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.

State-Specific Notices

California

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

Colorado

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts

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.