Adobe Systems GmbH
Machine Learning Engineer, Generative AI
Adobe Systems GmbH, San Jose, California, United States, 95199
JOB LEVEL
P30
ADDITIONAL JOB LEVELS P40 - P50
EMPLOYEE ROLE Individual Contributor
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 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 and through 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 the industry, set technical direction, and mentor other ML engineers. Job Responsibilities
Design and evelopment 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 model 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. 7+ 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. #FireflyGenAI 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 positionis $120,700 -- $228,600 annually. Paywithin this range varies by work locationand 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. 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 There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. 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. Internal Opportunities Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe! Put your best foot forward: 1. Update your Resume/CV and
Workday profile
– don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work. 2. Visit the
Internal Mobility page
on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in. 3. Check out these
tips
to help you prep for interviews. 4. If you are applying for a role outside of your current country, ensure you review the
International Resources for Relocating Employees
on Inside Adobe, including the impacts to your
Benefits, AIP, Equity & Payroll . Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth. At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the
Adobe Life blog
and explore the meaningful
benefits
we offer. 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 applicable characteristics protected by law.
Learn more. Adobe aims to make Adobe.com 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 (408) 536-3015.
#J-18808-Ljbffr
ADDITIONAL JOB LEVELS P40 - P50
EMPLOYEE ROLE Individual Contributor
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 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 and through 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 the industry, set technical direction, and mentor other ML engineers. Job Responsibilities
Design and evelopment 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 model 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. 7+ 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. #FireflyGenAI 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 positionis $120,700 -- $228,600 annually. Paywithin this range varies by work locationand 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. 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 There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability. 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. Internal Opportunities Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe! Put your best foot forward: 1. Update your Resume/CV and
Workday profile
– don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work. 2. Visit the
Internal Mobility page
on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in. 3. Check out these
tips
to help you prep for interviews. 4. If you are applying for a role outside of your current country, ensure you review the
International Resources for Relocating Employees
on Inside Adobe, including the impacts to your
Benefits, AIP, Equity & Payroll . Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth. At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the
Adobe Life blog
and explore the meaningful
benefits
we offer. 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 applicable characteristics protected by law.
Learn more. Adobe aims to make Adobe.com 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 (408) 536-3015.
#J-18808-Ljbffr