ML Engineer Jobs at Adobe with Visa Sponsorship
ML Engineer jobs at Adobe sit at the intersection of creative technology and applied research, covering everything from generative AI to recommendation systems. Adobe has a consistent record of sponsoring work visas for ML Engineers across multiple visa categories, making it a realistic target for international candidates in this field.
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Get Access To All JobsINTRODUCTION
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 throughput 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.
ROLE AND 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.
BASIC QUALIFICATIONS
-
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.
ABOUT ADOBE
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. The next big idea could be yours.
Let’s 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 accommodations@adobe.com or call +1 408-536-3015.
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 it’s restricted during live interviews. See how we think about AI in the hiring experience.
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.
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.
INTRODUCTION
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 throughput 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.
ROLE AND 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.
BASIC QUALIFICATIONS
-
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.
ABOUT ADOBE
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. The next big idea could be yours.
Let’s 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 accommodations@adobe.com or call +1 408-536-3015.
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 it’s restricted during live interviews. See how we think about AI in the hiring experience.
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.
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.
See all 49+ ML Engineer Jobs at Adobe
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer Jobs at Adobe.
Get Access To All JobsTips for Finding ML Engineer Jobs at Adobe
Align your portfolio to Adobe's AI products
Adobe's ML teams build models that power Firefly, Sensei, and content intelligence features. Tailor your project portfolio to show experience with generative models, computer vision, or recommendation systems rather than presenting generic ML work.
Target roles that match your visa category
Adobe sponsors multiple visa types including H-1B, E-3, TN, and F-1 OPT. Filtering job listings by your current status saves time and ensures you're applying where sponsorship is already an established pathway at Adobe.
Frame your degree field precisely on applications
H-1B and E-3 specialty occupation approvals hinge on a direct link between your degree and the ML Engineer role. A degree in Computer Science, Statistics, or Electrical Engineering maps cleanly; a business degree with ML coursework needs careful framing in your application materials.
Start OPT applications well before your program ends
USCIS recommends filing your OPT EAD up to 90 days before your F-1 program end date. If you're targeting a full-time ML Engineer role at Adobe post-graduation, an approved EAD in hand before you start interviewing removes a common hiring delay.
Ask about LCA timing during the offer stage
Before Adobe can file your H-1B petition, the company must obtain a certified Labor Condition Application from the DOL. Understanding this step lets you have an informed conversation with the recruiting team about realistic start dates.
Use Migrate Mate to filter Adobe ML Engineer openings by visa type
Searching a broad job board means sifting through roles with unclear sponsorship policies. Migrate Mate lets you filter Adobe's open ML Engineer positions by the specific visa categories the company sponsors, so you only spend time on realistic opportunities.
Frequently Asked Questions
Does Adobe sponsor H-1B visas for ML Engineers?
Yes, Adobe sponsors H-1B visas for ML Engineer roles. The process requires Adobe to first file a Labor Condition Application with the DOL, then submit an I-129 petition to USCIS on your behalf. Because H-1B cap-subject petitions are subject to an annual lottery, timing your application cycle and confirming your registration window with Adobe's HR team early is critical.
How do I apply for ML Engineer jobs at Adobe?
Applications go through Adobe's careers portal, where ML Engineer roles are listed with job codes and team descriptions. Before applying, review the role's technical requirements carefully since Adobe's ML teams vary widely from research-focused positions to production engineering. Migrate Mate also aggregates Adobe's open ML Engineer listings filtered by visa sponsorship type, which helps you identify the right role faster.
Which visa types does Adobe commonly use for ML Engineers?
Adobe sponsors H-1B, E-3 visa (for Australian citizens), TN visa (for Canadian and Mexican nationals), F-1 OPT, F-1 CPT, J-1 visa, and Green Card pathways including EB-2 and EB-3. For ML Engineers already in the U.S. on F-1 OPT, Adobe can bring you on during OPT and transition you to H-1B at the next cap season, which is a common pattern for this role.
What qualifications does Adobe expect for ML Engineer roles?
Most ML Engineer positions at Adobe require a bachelor's degree at minimum in Computer Science, Machine Learning, Statistics, or a closely related field, with a master's or Ph.D. preferred for research-adjacent roles. Adobe's Firefly and Sensei teams specifically look for hands-on experience with deep learning frameworks such as PyTorch or TensorFlow, plus demonstrated work on generative models, ranking systems, or large-scale data pipelines.
How do I understand the visa sponsorship timeline for an ML Engineer offer at Adobe?
Timeline depends on your visa category. For H-1B, Adobe must file during the April cap season for an October 1 start, meaning offers for new graduates often align to that calendar. E-3 and TN processing is faster since there's no lottery. F-1 OPT allows you to start work within your OPT authorization window while Adobe prepares a longer-term petition. Confirm your target start date with Adobe's immigration team as early as the offer stage.