ML Engineer Jobs at Adobe with Visa Sponsorship
Adobe's ML Engineer roles 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 JobsOur Company
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!
Adobe Experience Cloud | Gen AI Experience Engineering
About the Team:
The Gen AI Experience Engineering team is defining the future of intelligent workflows across Adobe Experience Cloud with the AI Assistant. We operate like a startup within Adobe—fast, iterative, and customer-focused. Our mission is to build the intelligent systems, models, and services that power Adobe’s AI Assistant experience.
The Opportunity:
We’re looking for an AI/ML Engineer who is excited to build intelligent features using whatever approach solves the problem best. Some solutions will use LLMs and generative AI, some will rely on traditional ML, some will be heuristic or rules-based, and many will be hybrid systems that combine them.
Your job is to evaluate the problem, choose the right approach, and deliver high-quality, scalable solutions that improve user experiences. In this role, you’ll build models, design prompts, develop services, run evaluations, and ship features end-to-end. This is a hands-on applied engineering role with broad ownership, where you’ll work across modeling, service development, and lightweight ops.
What You’ll Do:
AI, ML & Hybrid Solution Development
- Build and iterate on solutions using the full spectrum of approaches: LLMs, classical ML, heuristics, rules engines, retrieval systems, or combinations thereof.
- Design, train, and evaluate classical ML models where appropriate, and integrate, fine-tune (via prompting or adapters), and evaluate partner-provided LLMs for generative AI, classification, search, and content understanding use cases.
- Develop prompting strategies, multi-step prompt workflows, and agents that power interactive AI experiences.
- Build hybrid pipelines that combine deterministic logic with AI/ML components for predictable, reliable outcomes.
Service & Feature Engineering
- Implement backend services and inference pipelines for the AI Assistant across Experience Cloud.
- Build RAG systems, model-serving layers, experimentation hooks, and scalable APIs.
- Partner with frontend engineers and product teams to turn concepts into shipped features.
Evaluation, Data, and Light Ops
- Build automated evaluation pipelines to measure quality, safety, latency, and reliability.
- Prepare datasets for evaluation, fine-tuning, and experimentation.
- Deploy models and services using CI/CD, containers, and cloud workflows.
- Monitor performance and iterate quickly based on data and user signals.
While this is not a dedicated ops role you should be able to own and operate your work end-to-end as projects require.
Cross-Functional Collaboration
- Work closely with Product, Engineering, Design and ML teams to explore new ideas and deliver customer-facing features.
- Help define best practices for AI/ML development, evaluation, and hybrid system design.
- Contribute to shared tools that accelerate experimentation and improve developer productivity.
What You Bring:
- 5+ years experience in machine learning, applied AI engineering, IR or full-stack intelligent feature development – prioritizing experience with core ML problem-solving, such as building/designing or debugging predictive models (over operational pipelines and monitoring).
- Hands-on experience with both LLM-based and traditional ML techniques, and the judgment to choose the right tool for the job.
- Strong software engineering fundamentals and experience building production services (Node, Python, TypeScript, Go, or similar).
- Ability to design evaluation frameworks, run experiments, and iterate rapidly.
- Comfortable owning features from prototype → production, including monitoring and optimization.
- Excellent communication and collaboration skills; thrives in environments with ambiguity and autonomy.
Nice to Have
- Experience with hybrid LLM + deterministic systems, vector search, or orchestration tools.
- Knowledge of Adobe Experience Cloud or other enterprise SaaS ecosystems.
- Contributions to open-source AI/ML tools, model-serving frameworks, or evaluation libraries.
- Prior startup or high-velocity product development experience.
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.
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 applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com 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 (408) 536-3015.
Our Company
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!
Adobe Experience Cloud | Gen AI Experience Engineering
About the Team:
The Gen AI Experience Engineering team is defining the future of intelligent workflows across Adobe Experience Cloud with the AI Assistant. We operate like a startup within Adobe—fast, iterative, and customer-focused. Our mission is to build the intelligent systems, models, and services that power Adobe’s AI Assistant experience.
The Opportunity:
We’re looking for an AI/ML Engineer who is excited to build intelligent features using whatever approach solves the problem best. Some solutions will use LLMs and generative AI, some will rely on traditional ML, some will be heuristic or rules-based, and many will be hybrid systems that combine them.
Your job is to evaluate the problem, choose the right approach, and deliver high-quality, scalable solutions that improve user experiences. In this role, you’ll build models, design prompts, develop services, run evaluations, and ship features end-to-end. This is a hands-on applied engineering role with broad ownership, where you’ll work across modeling, service development, and lightweight ops.
What You’ll Do:
AI, ML & Hybrid Solution Development
- Build and iterate on solutions using the full spectrum of approaches: LLMs, classical ML, heuristics, rules engines, retrieval systems, or combinations thereof.
- Design, train, and evaluate classical ML models where appropriate, and integrate, fine-tune (via prompting or adapters), and evaluate partner-provided LLMs for generative AI, classification, search, and content understanding use cases.
- Develop prompting strategies, multi-step prompt workflows, and agents that power interactive AI experiences.
- Build hybrid pipelines that combine deterministic logic with AI/ML components for predictable, reliable outcomes.
Service & Feature Engineering
- Implement backend services and inference pipelines for the AI Assistant across Experience Cloud.
- Build RAG systems, model-serving layers, experimentation hooks, and scalable APIs.
- Partner with frontend engineers and product teams to turn concepts into shipped features.
Evaluation, Data, and Light Ops
- Build automated evaluation pipelines to measure quality, safety, latency, and reliability.
- Prepare datasets for evaluation, fine-tuning, and experimentation.
- Deploy models and services using CI/CD, containers, and cloud workflows.
- Monitor performance and iterate quickly based on data and user signals.
While this is not a dedicated ops role you should be able to own and operate your work end-to-end as projects require.
Cross-Functional Collaboration
- Work closely with Product, Engineering, Design and ML teams to explore new ideas and deliver customer-facing features.
- Help define best practices for AI/ML development, evaluation, and hybrid system design.
- Contribute to shared tools that accelerate experimentation and improve developer productivity.
What You Bring:
- 5+ years experience in machine learning, applied AI engineering, IR or full-stack intelligent feature development – prioritizing experience with core ML problem-solving, such as building/designing or debugging predictive models (over operational pipelines and monitoring).
- Hands-on experience with both LLM-based and traditional ML techniques, and the judgment to choose the right tool for the job.
- Strong software engineering fundamentals and experience building production services (Node, Python, TypeScript, Go, or similar).
- Ability to design evaluation frameworks, run experiments, and iterate rapidly.
- Comfortable owning features from prototype → production, including monitoring and optimization.
- Excellent communication and collaboration skills; thrives in environments with ambiguity and autonomy.
Nice to Have
- Experience with hybrid LLM + deterministic systems, vector search, or orchestration tools.
- Knowledge of Adobe Experience Cloud or other enterprise SaaS ecosystems.
- Contributions to open-source AI/ML tools, model-serving frameworks, or evaluation libraries.
- Prior startup or high-velocity product development experience.
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.
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 applicable characteristics protected by law. Learn more.
Adobe aims to make Adobe.com 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 (408) 536-3015.
See all 76+ ML Engineer at Adobe jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new ML Engineer at Adobe roles.
Get Access To All JobsTips for Finding ML Engineer Jobs at Adobe Jobs
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.
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.
ML Engineer at Adobe jobs are hiring across the US. Find yours.
Find ML Engineer at Adobe JobsFrequently 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 (for Australian citizens), TN (for Canadian and Mexican nationals), F-1 OPT, F-1 CPT, J-1, 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.
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