Green Card Machine Learning Intern Jobs
Machine Learning Intern roles can qualify for EB-2 or EB-3 green card sponsorship through PERM labor certification when the position requires a bachelor's degree in computer science, statistics, or a related field. Employers file with DOL to document that no qualified U.S. worker is available, opening a path to permanent residency sponsorship for the right candidate.
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Get Access To All JobsWho We Are
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.
Where You Fit
Our Intern/Co-op program is designed to give you a real-world view of what it's like to be a Machine Learning Engineer at PathAI. You will be embedded directly into our AI product and ML Core teams, working on active projects that have a direct impact on our technical roadmap and business goals.
You will collaborate with a cross-functional team of scientists, engineers, and product managers to translate clinical needs into scalable ML solutions. This is your chance to contribute to meaningful work that directly relates to patient outcomes.
Timeline: This opportunity is for Fall 2026. We are looking for interns/co-ops who can commit to 3-6 months at PathAI (4-6 months preferred).
Location: We have offices in Boston, MA and New York, NY and would prefer interns/co-ops who can work from one of those locations—however, we will also consider remote candidates (US based only).
- Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models.
- Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques.
- Partner with our MLOps and platform teams to help build and improve our ML pipelines.
- Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs.
What You Bring
- Currently pursuing a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning.
- Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow).
- A solid grasp of the fundamentals of machine learning and/or computer vision.
- Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment.
- A passion for our mission to improve patient outcomes.
- [Nice-to-have] Any high impact contributions through any AI/ML publications, open-source projects and any AI based products.
We are looking for team players who are passionate about what they do and are willing to tackle any task to contribute to our goals. You could be exactly who we are looking for!
We Want To Hear From You
At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
Who We Are
PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials. Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.
Where You Fit
Our Intern/Co-op program is designed to give you a real-world view of what it's like to be a Machine Learning Engineer at PathAI. You will be embedded directly into our AI product and ML Core teams, working on active projects that have a direct impact on our technical roadmap and business goals.
You will collaborate with a cross-functional team of scientists, engineers, and product managers to translate clinical needs into scalable ML solutions. This is your chance to contribute to meaningful work that directly relates to patient outcomes.
Timeline: This opportunity is for Fall 2026. We are looking for interns/co-ops who can commit to 3-6 months at PathAI (4-6 months preferred).
Location: We have offices in Boston, MA and New York, NY and would prefer interns/co-ops who can work from one of those locations—however, we will also consider remote candidates (US based only).
- Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models.
- Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques.
- Partner with our MLOps and platform teams to help build and improve our ML pipelines.
- Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs.
What You Bring
- Currently pursuing a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning.
- Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow).
- A solid grasp of the fundamentals of machine learning and/or computer vision.
- Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment.
- A passion for our mission to improve patient outcomes.
- [Nice-to-have] Any high impact contributions through any AI/ML publications, open-source projects and any AI based products.
We are looking for team players who are passionate about what they do and are willing to tackle any task to contribute to our goals. You could be exactly who we are looking for!
We Want To Hear From You
At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.
See all 99+ Green Card Machine Learning Intern Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Machine Learning Intern
Align your degree to the role
PERM requires your credentials to match the job's minimum requirements exactly. A degree in mathematics or electrical engineering can qualify if the job description ties those fields directly to machine learning tasks like model training or data pipeline engineering.
Target employers with PERM filing history
Search OFLC Wage Search disclosure data to identify companies that have filed PERM applications for machine learning or data science roles. Employers already familiar with the labor certification process move faster and make fewer documentation errors on your case.
Use Migrate Mate to find sponsoring employers
Filter your job search by green card sponsorship history using Migrate Mate. It surfaces employers who have sponsored EB-2 and EB-3 candidates for machine learning roles, so you're applying to companies with demonstrated willingness to run the PERM process.
Negotiate the job description before signing
The PERM application locks in the job duties and minimum requirements listed in your offer letter. Push for a description that reflects your actual ML work, including specific frameworks or degree fields, so it supports the strongest possible labor certification filing.
Understand EB-3 priority dates for your country
EB-3 backlogs vary significantly by birth country. Check the USCIS Visa Bulletin before accepting an internship-to-full-time path: candidates born in India or China face multi-year waits even after I-140 approval, while most other nationals see far shorter queues.
Confirm E-Verify enrollment before your start date
If you're transitioning from F-1 OPT to a sponsored role, your employer must be enrolled in E-Verify to maintain your work authorization during the green card process. Verify enrollment status directly with your HR contact before your OPT expires.
Green Card Machine Learning Intern: Frequently Asked Questions
Can a Machine Learning Intern role qualify for EB-2 or EB-3 green card sponsorship?
Yes, if the position requires at minimum a bachelor's degree in a directly related field such as computer science, statistics, or applied mathematics. EB-3 covers most degree-requiring roles, while EB-2 applies when the position demands an advanced degree or the candidate has qualifications that demonstrate advanced expertise beyond the bachelor's level. The employer defines the minimum requirements in the PERM filing.
How does the PERM green card process differ from H-1B sponsorship for machine learning roles?
H-1B visa is a temporary work visa with an annual cap and lottery, meaning you can go unselected multiple years. PERM-based EB-2 and EB-3 sponsorship has no annual lottery and leads to permanent residency rather than a time-limited status. The tradeoff is timeline: PERM labor certification, I-140 petition, and adjustment of status typically take two to four years or longer depending on your birth country's priority date queue.
How do I find Machine Learning Intern jobs where the employer is willing to sponsor a green card?
Search specifically for employers with documented PERM filing history for machine learning or data science roles. Migrate Mate filters job listings by green card sponsorship history, so you can target companies that have already run the PERM process for similar positions rather than asking employers cold whether they'll sponsor.
Does my internship need to be full-time for the employer to file a PERM application on my behalf?
PERM labor certification is designed for permanent, full-time positions. An internship itself rarely qualifies, but a full-time role offer following the internship can. If your goal is green card sponsorship, discuss conversion to a permanent position with your employer early, because the PERM filing must describe the ongoing job duties, not the temporary internship scope.
What role does O*NET play in a PERM filing for a machine learning position?
DOL uses O*NET occupation classifications to assess whether the duties and degree requirements in a PERM filing are consistent with the job category. For machine learning roles, the O*NET profile for Software Developers or Computer and Information Research Scientists typically governs. Mismatches between your job description and the O*NET standard job zone can trigger audit scrutiny during labor certification review.