ML Software Engineer Jobs at Adobe with Visa Sponsorship
Adobe builds ML Software Engineer roles around applied research, large-scale model deployment, and deep integration with creative product pipelines. The company has a consistent record of sponsoring work visas across multiple categories for engineering talent, making it a realistic target if you're navigating the U.S. immigration process.
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INTRODUCTION
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.
THE OPPORTUNITY
Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.
By using predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.
All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.
WHAT YOU’LL DO
- Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.
- Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems.
- Collaborate with product management and engineering groups to develop new products and features.
WHAT YOU NEED TO SUCCEED
- Currently enrolled full time and pursuing a Bachelors, Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 – June 2027.
- Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
- Proficient in one or more programming languages such as Python, Java and C.
- Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn.
- Strong analytical and quantitative problem-solving ability.
- Excellent communication, relationship skills and a team player.
- Ability to participate in a full-time internship between May-September.
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 $45.00 - $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.
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
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences. We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.
THE OPPORTUNITY
Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.
By using predictive models, experimental design methods, and optimization techniques, the candidate will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.
All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.
WHAT YOU’LL DO
- Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.
- Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems.
- Collaborate with product management and engineering groups to develop new products and features.
WHAT YOU NEED TO SUCCEED
- Currently enrolled full time and pursuing a Bachelors, Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 – June 2027.
- Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
- Proficient in one or more programming languages such as Python, Java and C.
- Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn.
- Strong analytical and quantitative problem-solving ability.
- Excellent communication, relationship skills and a team player.
- Ability to participate in a full-time internship between May-September.
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 $45.00 - $55.00 hourly. Your recruiter can share more about the specific pay rate for your job location during the hiring process.
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 73+ ML Software Engineer at Adobe jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Software Engineer at Adobe roles.
Get Access To All JobsTips for Finding ML Software Engineer Jobs at Adobe Jobs
Align your portfolio to Adobe's ML stack
Adobe's ML roles emphasize generative AI, computer vision, and large language models tied to creative tools like Firefly. Tailor your GitHub projects and research papers to show applied work in these areas before applying.
Start OPT paperwork before your campus interview
If you're on F-1 status, your DSO needs lead time to authorize OPT. USCIS recommends filing up to 90 days before your program end date. Delays here can push your start date past what Adobe's offer timeline allows.
Target teams shipping production ML systems
Adobe's Sensei and Firefly teams actively hire ML engineers to ship features at scale, not just prototype. Roles in these orgs are more likely to move quickly through internal headcount approval, which keeps the offer-to-filing window predictable.
Clarify LCA timing during the offer stage
Your employer must file a certified Labor Condition Application with DOL before USCIS can process your H-1B petition. Ask Adobe's immigration team when LCA filing begins after signing your offer so you can plan your start date accurately.
Use Migrate Mate to find open ML roles at Adobe
Adobe posts ML Software Engineer openings across experience levels and product areas. Use Migrate Mate to filter for Adobe roles that explicitly support visa sponsorship, so you're applying to positions already confirmed for international candidates.
ML Software Engineer at Adobe jobs are hiring across the US. Find yours.
Find ML Software Engineer at Adobe JobsFrequently Asked Questions
Does Adobe sponsor H-1B visas for ML Software Engineers?
Yes, Adobe sponsors H-1B visas for ML Software Engineers. The company works with immigration counsel to file H-1B petitions on behalf of selected candidates, covering the Labor Condition Application through USCIS approval. Because H-1B is subject to an annual lottery, timing your application to the April registration window is essential if you're not already H-1B exempt.
How do I apply for ML Software Engineer jobs at Adobe?
Apply directly through Adobe's careers site or find open ML Software Engineer roles filtered by sponsorship eligibility on Migrate Mate. Most ML roles at Adobe include a recruiter screen, a technical phone interview focused on ML fundamentals and system design, and a virtual onsite covering coding, modeling, and cross-functional communication. Having your visa status and intended start date ready early keeps the process moving.
Which visa types does Adobe commonly use for ML Software Engineers?
Adobe sponsors H-1B for most international ML engineers, along with E-3 for Australian citizens, TN for Canadian and Mexican nationals in qualifying roles, and F-1 OPT or CPT for students in eligible programs. For longer-term pathways, Adobe supports EB-2 and EB-3 Green Card sponsorship for engineers who meet the experience thresholds after establishing tenure.
What qualifications does Adobe expect for ML Software Engineer roles?
Most Adobe ML Software Engineer postings require a bachelor's degree or higher in computer science, electrical engineering, or a closely related field. Practical experience with deep learning frameworks like PyTorch or TensorFlow, familiarity with large-scale model training, and demonstrated ability to ship ML features in production environments carry significant weight during the technical evaluation.
How do I time my application if my OPT or visa status is expiring soon?
If your F-1 OPT is expiring, Adobe's offer timeline needs to align with your USCIS-authorized work period. STEM OPT extensions give you up to 24 additional months, but your employer must be enrolled in E-Verify. For H-1B transfers from another employer, Adobe can file a cap-exempt petition and you can begin work once USCIS confirms receipt, without waiting for full approval.
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