Machine Learning Engineer Jobs at Adobe with Visa Sponsorship
Machine Learning Engineer jobs at Adobe sit at the intersection of research and production systems, spanning recommendation engines, generative AI, and creative intelligence tools. Adobe has a well-established track record of sponsoring work visas for ML engineers and supports multiple pathways, from OPT to long-term permanent residence.
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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+ Machine Learning Engineer Jobs at Adobe
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Engineer Jobs at Adobe.
Get Access To All JobsTips for Finding Machine Learning Engineer Jobs at Adobe
Align your portfolio with Adobe's AI products
Adobe hires ML engineers to build systems behind Firefly, Sensei, and content intelligence features. Tailor your projects and GitHub portfolio to show experience in generative models, recommendation systems, or multimodal learning before you apply.
Target roles with explicit sponsorship language
Not every Adobe ML posting explicitly lists visa sponsorship eligibility. Filter for roles that confirm H-1B or E-3 support in the job description, which signals the hiring team has already cleared the position through internal headcount and legal review.
Start OPT early to create filing buffer
If you're on F-1 OPT, Adobe typically files your H-1B cap petition in March for an October 1 start. Apply to roles at least six months before your OPT expires so there's time to interview, receive an offer, and complete the LCA process with DOL.
Prepare documentation for specialty occupation evidence
USCIS scrutinizes ML engineer petitions for specialty occupation status. Compile your transcripts, degree equivalency evaluations, and a clear breakdown of how your role requires a specific technical degree, not just general computer science knowledge.
Use Migrate Mate to find open ML roles at Adobe
Adobe posts ML engineer openings across research, applied science, and product engineering tracks, and they move quickly. Use Migrate Mate to filter Adobe job listings by visa type so you only see roles where sponsorship has been confirmed for your status.
Negotiate offer timing around PERM filing windows
If you're targeting a Green Card through Adobe's EB-2 or EB-3 track, ask your recruiter about the typical PERM initiation timeline after hire. Starting PERM earlier matters significantly if you're from India or China given the priority date backlog.
Frequently Asked Questions
Does Adobe sponsor H-1B visas for Machine Learning Engineers?
Yes, Adobe sponsors H-1B visas for Machine Learning Engineers. Adobe participates in the annual H-1B cap lottery and files petitions each spring for an October 1 start date. ML engineer roles at Adobe typically qualify as specialty occupations under USCIS standards given their degree requirements in computer science, statistics, or a related technical field.
Which visa types are commonly used for Machine Learning Engineer roles at Adobe?
Adobe supports H-1B, E-3 visa (for Australian citizens), TN visa (for Canadian and Mexican nationals), F-1 OPT and CPT, J-1 visa, and employment-based Green Cards including EB-2 and EB-3. For ML engineers already in the U.S. on F-1 OPT, Adobe will typically file an H-1B petition before OPT expires to maintain continuous work authorization.
How do I apply for Machine Learning Engineer jobs at Adobe?
Applications go through Adobe's careers portal, where you can filter by role and location. ML engineer postings at Adobe typically require a portfolio of applied work, so prepare links to published research, production systems, or open-source contributions before applying. You can also use Migrate Mate to browse current Adobe ML openings filtered by visa sponsorship type.
What qualifications does Adobe expect for Machine Learning Engineer roles?
Adobe generally expects a graduate degree in computer science, machine learning, statistics, or a closely related field for ML engineer positions, though strong applied experience can supplement a bachelor's degree on some teams. Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow, and familiarity with large-scale model training or deployment, is consistently emphasized across Adobe's ML job descriptions.
How do I plan my visa timeline when joining Adobe as a Machine Learning Engineer?
The H-1B lottery window opens in March each year, and USCIS typically begins accepting registrations in late March for an October 1 start. If you're on OPT, make sure your expiration date gives you enough runway to clear the lottery and have an approved petition before your grace period ends. For cap-exempt pathways like E-3 or TN, processing through the U.S. consulate typically takes two to four weeks, giving you more scheduling flexibility.