H-1B Visa Machine Learning Intern Jobs
Machine Learning Intern roles qualify as H-1B visa specialty occupations when they require a bachelor's degree in computer science, statistics, or a related field. Many research-driven employers sponsor H-1B transfers mid-internship or convert interns to full-time sponsored positions before cap season.
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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 94+ H-1B Visa Machine Learning Intern Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Machine Learning Intern
Verify your degree field matches the role
USCIS requires a direct relationship between your degree field and the internship duties. A statistics or data science degree supports ML intern roles more cleanly than a general business degree, which can trigger a Request for Evidence.
Check employer LCA filings before applying
Use Migrate Mate to filter ML intern postings by employers who have active Labor Condition Applications on file. Employers without prior LCA history often lack the internal HR infrastructure to sponsor in time for your start date.
Look up prevailing wage before negotiating
Run the SOC code for your specific ML role through the OFLC Wage Search before your offer call. DOL sets a wage floor by location and experience level, so knowing Level I and Level II thresholds prevents accepting an offer that can't legally support sponsorship.
Target cap-exempt employers for faster sponsorship
Universities, nonprofit research labs, and government-affiliated institutions are cap-exempt under USCIS rules. ML intern roles at these organizations can be sponsored outside the annual lottery window, which matters if you're between OPT expiration and cap selection.
Clarify sponsorship scope during the offer stage
Ask HR specifically whether sponsorship covers only the internship period or extends to a full-time H-1B after conversion. Some employers sponsor the intern status under OPT STEM extension and file the H-1B cap petition concurrently, not separately.
Use O*NET to frame your specialty occupation case
The O*NET occupation profile for Machine Learning Engineer lists the education and skill requirements USCIS reviewers reference when evaluating specialty occupation. Aligning your job duties description to O*NET language reduces RFE risk on the I-129 petition.
H-1B Visa Machine Learning Intern: Frequently Asked Questions
Can an internship qualify as a specialty occupation for H-1B sponsorship?
Yes, if the role genuinely requires a bachelor's degree or higher in a specific field like computer science or statistics. USCIS evaluates the actual duties, not the title. ML intern roles at research-driven employers typically qualify because the work requires theoretical knowledge in machine learning, not just general computer skills.
How do I find Machine Learning Intern employers who actively sponsor H-1B visas?
Migrate Mate filters ML intern postings by employers with verified H-1B Labor Condition Application history on file with DOL. This tells you which companies have gone through the sponsorship process before, which is a stronger signal than an employer simply saying they're open to sponsorship during a recruiter call.
Does my F-1 OPT status affect how and when an employer can sponsor my H-1B?
If you're on OPT or STEM OPT, your employer can file your H-1B cap-subject petition during the annual registration window for a October 1 start date. If your OPT expires before October 1, cap-gap protection under USCIS rules extends your work authorization automatically once the petition is filed and selected, as long as you maintain continuous employment.
What happens if my ML internship converts to a full-time role before H-1B cap season?
Your employer can keep you on OPT STEM extension while preparing your H-1B petition for the next cap cycle. If your degree field qualifies for STEM OPT, you can work for up to three years post-graduation without H-1B status, giving your employer time to file properly without rushing the process.
Is a master's degree in machine learning or data science required for H-1B sponsorship as an intern?
A bachelor's degree is the minimum USCIS requires for specialty occupation status. A master's degree strengthens the petition because it reinforces the direct connection between your credentials and the role, but it isn't required. What matters is that the position itself requires at least a bachelor's in a specifically related field, not just a preference for one.