Sr Staff Machine Learning Engineer, Adobe Firefly Services

Adobe FireflysGenerative AI Servicesteam is seekingSeniorMachine Learning Engineersfor our GenAI Services this high-impact role you will work with a team of talented engineers in building scalable high-performance generative AI systemspowering features across Adobe products like Firefly Photoshop Illustrator Express Stock and will design and develop efficient inference pipelines optimize models for latency and through at inference and build APIs and ecosystems that integrate both Adobes first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobes most complex engineering challenges at the forefront of the the industry set technical direction and mentor other ML engineers.Job Responsibilities

• Design and evelopmentof core GenAI services and APIs that integrate a wide range of generative models into Adobes flagship products.

• Design and buildML workflows for enterprise-scale model customization serving and ecosystem integration.

• Collaboratewith Adobe Research and other model developer teams with a focus on model inference strategies and productization of those model

• Build and optimizeGPU-accelerated pipelines for both (customized) model training and inferenceprioritizing performance scalability and reliability.

• Foster a culture of innovation technical excellence and continuous improvement across the organization.

What Youll Need to Succeed

• MS or PhD in Computer Science Machine Learning or a related fieldor 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 asPyTorch CUDA Triton TensorRTNvidia Dynamo and Python.

• Good understanding of generative model architectures includingdiffusion models transformers and GANs.

• Good communication and leadership skills with a track record of driving alignment in matrixed organizations.

Preferred Qualifications

• Experience withmodel serving inference orchestration and GPU resource managementin large-scale environments.

• Hands-on expertise inKubernetes distributed systems and MLOps platforms.

#FireflyGenAI

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity productivity and personalized customer experiences. Adobes 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 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were 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. The next big idea could be yours.

Lets Adobe together

At Adobe we believe in creating a company culture where all employees are empowered to make an impact. 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.

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 or call 1 .

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.

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 its restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

At Adobe for sales roles starting salaries are expressed as total target compensation (TTC base commission) and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

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

State-Specific Notices:

California:

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.

Colorado:

Application Window Notice

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:

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.