STEM OPT Machine Learning Jobs
Machine Learning roles in data science, NLP, and computer vision fall under STEM-designated CIP codes, making them eligible for the 24-month STEM OPT extension beyond your initial 12 months. Your employer must be enrolled in E-Verify and sign an I-983 training plan before your DSO can authorize the extension.
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Get Access To All JobsINTRODUCTION
Adobe Express helps people and teams create standout content with ease. The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization. We’re looking for an engineer to help develop and scale the AI infrastructure behind these experiences. This role is a strong fit for someone with solid software engineering fundamentals, exposure to ML systems, and interest in building reliable large-scale platforms that support modern AI products.
You’ll work with experienced engineers to build production systems that power Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI. Your work will contribute to important layers of the platform, including model integration, inference services, data pipelines, storage and caching systems, analytics, and evaluation tooling.
ROLE AND RESPONSIBILITIES
Contribute to the development of core platform components that support AI experiences in Adobe Express.
Build and improve backend services, microservices, and workflows that connect models, APIs, data systems, and product features.
Help develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models.
Support runtime systems for inference and orchestration with attention to reliability, observability, and performance.
Work on storage, caching, and data-access patterns to improve efficiency, scalability, and cost.
Collaborate with engineers, researchers, and product teams to deliver production-ready AI capabilities.
Participate in debugging, testing, monitoring, and operational improvements for AI platform services.
BASIC QUALIFICATIONS
- 3+ years of experience in software engineering, backend infrastructure, data systems, ML infrastructure, or related areas.
- Good understanding of distributed systems fundamentals, backend services, and scalable system design.
- Experience building or supporting APIs, data pipelines, or event-driven systems.
- Proficiency in Python, Java, C++, or Go.
- Familiarity with cloud environments, service deployment, and production engineering practices.
- Exposure to ML systems or LLM-based applications, including model inference, orchestration, or evaluation, is a plus.
- Strong problem-solving skills and the ability to work well in a collaborative team environment.
- Clear communication skills and willingness to learn from cross-functional partners.
PREFERRED QUALIFICATIONS
- Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Data Science, or a related technical field.
- Experience with technologies such as Kafka, Spark, Flink, or similar distributed data frameworks.
- Exposure to generative AI systems such as LLMs, multimodal models, or diffusion models.
- Familiarity with MLOps concepts such as experiment tracking, model deployment, or evaluation workflows.
- Interest in agentic AI concepts such as tool use, task planning, or memory systems.
WHY ADOBE
At Adobe, we’re building the future of creativity through intelligent systems. The AI Foundations team combines platform engineering, applied AI, and product impact to bring powerful creative tools to millions of users. This is an opportunity to grow your technical depth while helping build the systems behind the next generation of AI-powered creative experiences.
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 $125,600 - $234,150 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 $161,700 - $234,150.
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 Express helps people and teams create standout content with ease. The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization. We’re looking for an engineer to help develop and scale the AI infrastructure behind these experiences. This role is a strong fit for someone with solid software engineering fundamentals, exposure to ML systems, and interest in building reliable large-scale platforms that support modern AI products.
You’ll work with experienced engineers to build production systems that power Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI. Your work will contribute to important layers of the platform, including model integration, inference services, data pipelines, storage and caching systems, analytics, and evaluation tooling.
ROLE AND RESPONSIBILITIES
Contribute to the development of core platform components that support AI experiences in Adobe Express.
Build and improve backend services, microservices, and workflows that connect models, APIs, data systems, and product features.
Help develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models.
Support runtime systems for inference and orchestration with attention to reliability, observability, and performance.
Work on storage, caching, and data-access patterns to improve efficiency, scalability, and cost.
Collaborate with engineers, researchers, and product teams to deliver production-ready AI capabilities.
Participate in debugging, testing, monitoring, and operational improvements for AI platform services.
BASIC QUALIFICATIONS
- 3+ years of experience in software engineering, backend infrastructure, data systems, ML infrastructure, or related areas.
- Good understanding of distributed systems fundamentals, backend services, and scalable system design.
- Experience building or supporting APIs, data pipelines, or event-driven systems.
- Proficiency in Python, Java, C++, or Go.
- Familiarity with cloud environments, service deployment, and production engineering practices.
- Exposure to ML systems or LLM-based applications, including model inference, orchestration, or evaluation, is a plus.
- Strong problem-solving skills and the ability to work well in a collaborative team environment.
- Clear communication skills and willingness to learn from cross-functional partners.
PREFERRED QUALIFICATIONS
- Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Data Science, or a related technical field.
- Experience with technologies such as Kafka, Spark, Flink, or similar distributed data frameworks.
- Exposure to generative AI systems such as LLMs, multimodal models, or diffusion models.
- Familiarity with MLOps concepts such as experiment tracking, model deployment, or evaluation workflows.
- Interest in agentic AI concepts such as tool use, task planning, or memory systems.
WHY ADOBE
At Adobe, we’re building the future of creativity through intelligent systems. The AI Foundations team combines platform engineering, applied AI, and product impact to bring powerful creative tools to millions of users. This is an opportunity to grow your technical depth while helping build the systems behind the next generation of AI-powered creative experiences.
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 $125,600 - $234,150 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 $161,700 - $234,150.
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 1,236+ Machine Learning jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning roles.
Get Access To All JobsTips for Finding STEM OPT Authorization in Machine Learning
Verify your degree's CIP code eligibility
Check that your degree program's CIP code appears on the STEM Designated Degree Program List published by USCIS. Computer Science (11.07), Electrical Engineering (14.10), and Statistics (27.05) all qualify, but not every data-adjacent program does.
Confirm E-Verify enrollment before applying
Machine Learning roles at startups and research labs often lack E-Verify enrollment, which disqualifies them from STEM OPT. Search the E-Verify employer search tool by company name before submitting any application.
Target employers with active ML-specific LCA filings
Use Migrate Mate to filter for employers with verified Labor Condition Application filings under SOC codes like 15-2051 (Data Scientists) and 15-1252 (Software Developers). These companies have already navigated STEM OPT and understand the I-983 obligation.
Negotiate your I-983 training plan before signing
Your offer letter is not enough: USCIS requires a signed I-983 detailing your ML learning objectives, supervision structure, and how the role relates to your degree. Raise this document with HR during the offer stage, not after your start date.
Check prevailing wage against the OFLC Wage Search
Your employer must pay at least the DOL prevailing wage for your occupation and location. Run your job title and county through the OFLC Wage Search to catch underpaid offers early, since a below-wage role can jeopardize future H-1B sponsorship.
Build a portfolio aligned with O*NET ML task definitions
O*NET defines Machine Learning Engineers and Data Scientists by specific tasks: model training, feature engineering, and deployment pipelines. Structure your GitHub portfolio and resume around those task definitions so your application maps cleanly to the specialty occupation standard.
Machine Learning jobs are hiring across the US. Find yours.
Find Machine Learning JobsFrequently Asked Questions
Which STEM degrees qualify for the STEM OPT extension in Machine Learning roles?
Degrees in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, and Data Science typically qualify, provided their CIP code appears on the STEM Designated Degree Program List published by USCIS. A Machine Learning or AI-specific master's program qualifies if the CIP code is listed. Degrees in Business Analytics or Information Systems may not qualify, so confirm your CIP code with your DSO before targeting STEM OPT positions.
Does every Machine Learning employer need to be enrolled in E-Verify?
Yes, E-Verify enrollment is a hard requirement for STEM OPT. No employer exemptions exist regardless of company size, funding stage, or role seniority. Many early-stage AI startups and university spin-outs are not yet enrolled, so verify enrollment directly through the E-Verify employer search before accepting an offer. Migrate Mate filters for E-Verify-enrolled employers so you can focus on companies that are already eligible.
What goes into the I-983 training plan for a Machine Learning role?
The I-983 must describe your learning objectives in relation to your degree, identify your direct supervisor, outline how the ML work connects to your field of study, and include a schedule for self-evaluations every six months. For Machine Learning roles, training plans typically document objectives around model development, research methodologies, and software engineering practices. Your employer signs the form and your DSO endorses it before USCIS authorizes your EAD extension.
How does cap-gap protection apply if my employer files for H-1B during my STEM OPT period?
If your employer files a timely H-1B petition before your STEM OPT EAD expires and you are selected in the lottery, cap-gap automatically extends your work authorization through September 30 of that fiscal year. You can continue working as a Machine Learning engineer during this period without a new EAD. If your petition is not selected, your STEM OPT authorization continues until its original expiration date, assuming the petition was filed before that date.
How do I find Machine Learning jobs where employers already understand STEM OPT requirements?
Search Migrate Mate for Machine Learning roles filtered by E-Verify-enrolled employers with active LCA filing history under relevant SOC codes. Employers who have previously filed LCAs for data science or software engineering roles are more likely to have internal processes for onboarding STEM OPT students and completing the I-983 training plan without delays.
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