Senior ML Engineer Jobs at Adobe with Visa Sponsorship
Senior ML Engineer jobs 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
We are looking for a Senior Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation, building data pipelines, prototype creation, and operationalization.
The ideal candidate will have a strong background in both classical and deep learning, along with experience developing and deploying production-ready ML and GenAI solutions. If you enjoy shipping impactful, customer-facing features, experimenting with new technologies, and contributing to high-visibility projects with room for creativity and ownership, this role is for you. Our work is dynamic, collaborative, and data-driven.
ROLE AND RESPONSIBILITIES
What You’ll Do
- Bring a 0→1 product mindset, helping shape ideas into real, measurable impact.
- Design, build, and optimize backend services that power ML and Generative AI features.
- Develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches.
- Contribute to agentic systems and orchestration frameworks that enable intelligent, multi-step reasoning and task automation.
- Collaborate with cross-functional teams to integrate ML solutions into production workflows.
- Analyze and improve the efficiency, accuracy, and scalability of AI-enabled systems.
- Stay up to date with advancements in ML, GenAI, and prompt optimization research.
- Mentor junior engineers and help grow the team’s technical depth.
BASIC QUALIFICATIONS
What You Need to Succeed
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
- 5+ years of experience in machine learning engineering, applied research, or production ML systems.
- Strong Python software engineering skills, including system design, clean architecture, testing, CI/CD, version control, and code review best practices.
- Experience taking ML-powered features from 0→1 through production and ongoing iteration.
- Hands-on experience deploying and monitoring ML models in production environments.
- Experience designing or contributing to agentic architectures and multi-agent orchestration systems.
- Strong understanding of classical ML, deep learning, and modern Generative AI techniques.
- Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable ML deployment.
- Solid foundation in data structures, algorithms, and distributed system design.
- Comfortable leveraging AI coding agents to accelerate development workflows.
- Excellent communication skills and demonstrated technical leadership experience.
PREFERRED QUALIFICATIONS
- Experience with Generative AI systems, prompt optimization frameworks, and LLM-as-a-judge/evaluation methodologies.
- Deep understanding of Retrieval-Augmented Generation (RAG) and modern NLP pipelines.
- Experience with MLOps tooling, experiment tracking, model lifecycle management, and observability frameworks.
- Track record of mentoring engineers and influencing technical direction on high-visibility projects.
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.
COMPENSATION
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 $151,800 - $265,350 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 $183,300 - $265,350.
In Washington, the pay range for this position is $165,600 - $239,725.
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.
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.
INTRODUCTION
We are looking for a Senior Machine Learning Engineer to join our team of driven machine learning and software engineers. This role covers system design, prompt engineering, ML model evaluation, building data pipelines, prototype creation, and operationalization.
The ideal candidate will have a strong background in both classical and deep learning, along with experience developing and deploying production-ready ML and GenAI solutions. If you enjoy shipping impactful, customer-facing features, experimenting with new technologies, and contributing to high-visibility projects with room for creativity and ownership, this role is for you. Our work is dynamic, collaborative, and data-driven.
ROLE AND RESPONSIBILITIES
What You’ll Do
- Bring a 0→1 product mindset, helping shape ideas into real, measurable impact.
- Design, build, and optimize backend services that power ML and Generative AI features.
- Develop, evaluate, and deploy ML models using classical, deep learning, and GenAI approaches.
- Contribute to agentic systems and orchestration frameworks that enable intelligent, multi-step reasoning and task automation.
- Collaborate with cross-functional teams to integrate ML solutions into production workflows.
- Analyze and improve the efficiency, accuracy, and scalability of AI-enabled systems.
- Stay up to date with advancements in ML, GenAI, and prompt optimization research.
- Mentor junior engineers and help grow the team’s technical depth.
BASIC QUALIFICATIONS
What You Need to Succeed
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
- 5+ years of experience in machine learning engineering, applied research, or production ML systems.
- Strong Python software engineering skills, including system design, clean architecture, testing, CI/CD, version control, and code review best practices.
- Experience taking ML-powered features from 0→1 through production and ongoing iteration.
- Hands-on experience deploying and monitoring ML models in production environments.
- Experience designing or contributing to agentic architectures and multi-agent orchestration systems.
- Strong understanding of classical ML, deep learning, and modern Generative AI techniques.
- Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable ML deployment.
- Solid foundation in data structures, algorithms, and distributed system design.
- Comfortable leveraging AI coding agents to accelerate development workflows.
- Excellent communication skills and demonstrated technical leadership experience.
PREFERRED QUALIFICATIONS
- Experience with Generative AI systems, prompt optimization frameworks, and LLM-as-a-judge/evaluation methodologies.
- Deep understanding of Retrieval-Augmented Generation (RAG) and modern NLP pipelines.
- Experience with MLOps tooling, experiment tracking, model lifecycle management, and observability frameworks.
- Track record of mentoring engineers and influencing technical direction on high-visibility projects.
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.
COMPENSATION
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 $151,800 - $265,350 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 $183,300 - $265,350.
In Washington, the pay range for this position is $165,600 - $239,725.
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.
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.
See all Senior ML Engineer Jobs at Adobe
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior ML Engineer Jobs at Adobe.
Get Access To All JobsTips for Finding Senior ML Engineer Jobs at Adobe
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.
Use OPT strategically to start while H-1B is pending
If you're on F-1 OPT, Adobe can bring you on immediately while your H-1B petition is filed for the next cap season. USCIS cap-subject petitions must be filed by April 1 for an October 1 start, so your OPT end date needs to cover that window.
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.
Frequently 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 visa, F-1 OPT, F-1 CPT, J-1 visa, 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 visa or TN applicants, consular processing can move faster, often resolving within four to eight weeks of an approved Labor Condition Application from DOL.