Senior ML Engineer Jobs at Adobe with Visa Sponsorship
Senior ML Engineer roles at Adobe sit at the intersection of creative technology and applied research, spanning generative AI, computer vision, and large-scale recommendation systems. Adobe has an established track record of sponsoring work visas for machine learning talent across multiple visa categories, making it a realistic target for international engineers.
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Get Access To All JobsINTRODUCTION
Adobe Stock’s Content Intelligence team is positioned at the center of Adobe’s creative ecosystem. Our mission is to employ machine learning to enhance our comprehension of the creative content that moves through Adobe Stock, Behance, and onto Adobe Firefly. Adobe boasts one of the largest pools of professional creative content worldwide, and content intelligence is pivotal in effectively catering to the world’s creatives. This outstanding opportunity allows you to be part of a world-class team dedicated to pushing the boundaries of machine learning and artificial intelligence to new heights.
ROLE AND RESPONSIBILITIES
As a Senior Machine Learning Engineer on the Content Intelligence team, you will lead the development of ML models and systems, to assist with Content Understanding. You will work closely with product and engineering management to align technical requirements and opportunities with product goals. Your role will include:
- Leading the development and improvement of machine learning models that fuel innovation.
- Collaborating with cross-functional teams to deliver ambitious projects on time.
- Providing technical guidance and mentorship to team members, encouraging a collaborative and inclusive environment.
- Staying current with the latest advancements in ML and AI to ensure our solutions remain at the forefront.
BASIC QUALIFICATIONS
- 5+ years of industry experience in developing, evaluating, and deploying ML models into production.
- Strong knowledge of Python and Python-based ML and Data Science frameworks, with proficiency in at least one deep learning framework such as PyTorch or TensorFlow.
- Proven experience leading major successful initiatives.
- Experience working with both research and product teams to ensure seamless integration of new technologies.
- A degree in computer science, statistics, operations research, applied physics, engineering, or a related quantitative field.
Join us at Adobe and help compose the future of creative content through the power of machine learning. Together, we'll develop groundbreaking solutions that empower creatives around the world to achieve their ambitious visions!
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 $172,500 - $306,625 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 $211,800 - $306,625.
In Washington, the pay range for this position is $201,000 - $291,150.
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 Stock’s Content Intelligence team is positioned at the center of Adobe’s creative ecosystem. Our mission is to employ machine learning to enhance our comprehension of the creative content that moves through Adobe Stock, Behance, and onto Adobe Firefly. Adobe boasts one of the largest pools of professional creative content worldwide, and content intelligence is pivotal in effectively catering to the world’s creatives. This outstanding opportunity allows you to be part of a world-class team dedicated to pushing the boundaries of machine learning and artificial intelligence to new heights.
ROLE AND RESPONSIBILITIES
As a Senior Machine Learning Engineer on the Content Intelligence team, you will lead the development of ML models and systems, to assist with Content Understanding. You will work closely with product and engineering management to align technical requirements and opportunities with product goals. Your role will include:
- Leading the development and improvement of machine learning models that fuel innovation.
- Collaborating with cross-functional teams to deliver ambitious projects on time.
- Providing technical guidance and mentorship to team members, encouraging a collaborative and inclusive environment.
- Staying current with the latest advancements in ML and AI to ensure our solutions remain at the forefront.
BASIC QUALIFICATIONS
- 5+ years of industry experience in developing, evaluating, and deploying ML models into production.
- Strong knowledge of Python and Python-based ML and Data Science frameworks, with proficiency in at least one deep learning framework such as PyTorch or TensorFlow.
- Proven experience leading major successful initiatives.
- Experience working with both research and product teams to ensure seamless integration of new technologies.
- A degree in computer science, statistics, operations research, applied physics, engineering, or a related quantitative field.
Join us at Adobe and help compose the future of creative content through the power of machine learning. Together, we'll develop groundbreaking solutions that empower creatives around the world to achieve their ambitious visions!
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 $172,500 - $306,625 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 $211,800 - $306,625.
In Washington, the pay range for this position is $201,000 - $291,150.
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 25+ Senior ML Engineer at Adobe jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior ML Engineer at Adobe roles.
Get Access To All JobsTips for Finding Senior ML Engineer Jobs at Adobe Jobs
Align your portfolio with Adobe Research priorities
Adobe's ML hiring is heavily weighted toward generative AI, document intelligence, and content understanding. Publishing work or side projects in these areas signals direct fit before you apply, which matters when a team is deciding whether to open a sponsorship-requiring role.
Target teams with active LCA filings
Search the DOL's OFLC disclosure data for Adobe LCA filings filtered to ML and AI job titles. Teams that filed recently are actively hiring sponsored roles, not just posting to build a pipeline, so your outreach lands at a better moment.
Flag your visa status early in recruiter screens
Adobe's talent acquisition team handles sponsorship through a centralized immigration function, so disclosing your status in the initial screen gets routed correctly. Waiting until an offer stage creates delays that can compress your start date timeline.
Prepare a specialty occupation case for your specific role
USCIS scrutinizes H-1B petitions for ML roles when the job description is broad. Work with Adobe's immigration counsel to ensure your offer letter specifies the theoretical and practical application of computer science or a related field, not just generic software duties.
Browse verified Adobe ML openings on Migrate Mate
Senior ML Engineer roles at Adobe that actively support sponsorship are tracked on Migrate Mate, letting you filter by visa type before applying. This saves time you'd otherwise spend on applications where sponsorship isn't available for your specific situation.
Senior ML Engineer at Adobe jobs are hiring across the US. Find yours.
Find Senior ML Engineer at Adobe JobsFrequently Asked Questions
Does Adobe sponsor H-1B visas for Senior ML Engineers?
Yes, Adobe sponsors H-1B visas for Senior ML Engineer roles. Adobe participates in the annual H-1B cap lottery and also files H-1B transfers for engineers already holding H-1B status with another employer, which bypasses the lottery entirely. If you're already on H-1B, that transfer pathway is often faster than waiting for cap season.
Which visa types does Adobe commonly use for Senior ML Engineer hires?
Adobe sponsors H-1B, E-3, TN, F-1 OPT, F-1 CPT, J-1, and Green Card pathways including EB-2 and EB-3. For Senior ML Engineers, H-1B is the most common long-term path for non-Australian, non-Canadian nationals. Australian citizens can access the E-3 visa, which has no lottery and typically processes faster through consular channels.
What qualifications does Adobe expect for Senior ML Engineer roles?
Adobe's Senior ML Engineer roles typically require a graduate degree in computer science, machine learning, or a closely related field, along with hands-on experience building and deploying production ML systems at scale. Specialization in generative AI, computer vision, or NLP aligns well with Adobe's product portfolio. Strong publication records or open-source contributions in these areas are common among competitive candidates.
How do I apply for Senior ML Engineer jobs at Adobe?
You can apply through Adobe's careers site directly or find sponsorship-confirmed openings on Migrate Mate, which filters roles by visa type so you can confirm eligibility before applying. When applying, tailor your resume to the specific ML domain the team works in, as Adobe's hiring panels are technically deep and evaluate research and system design experience separately.
How do I plan my timeline if I need Adobe to sponsor my visa?
If you need an H-1B cap filing, Adobe would need to submit your registration in March, with employment starting October 1 at the earliest. F-1 OPT holders can start sooner and bridge to H-1B status. For E-3 or TN applicants, consular processing can move faster, often resolving within four to eight weeks of an approved Labor Condition Application from DOL.
See which Senior ML Engineer at Adobe employers are hiring and sponsoring visas right now.
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