STEM OPT Machine Learning Intern Jobs
Machine Learning Intern roles qualify for the STEM OPT 24-month extension when your degree falls under an eligible CIP code and your employer is enrolled in E-Verify. With up to 36 months of total OPT work authorization, you have real runway to build ML experience while staying compliant with USCIS training plan requirements.
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Get Access To All JobsINTRODUCTION
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.
ROLE
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 Spring & Summer 2026. We are looking for interns/co-ops who can commit to 3-6 months at PathAI (4-6 months preferred).
LOCATION
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).
WHAT YOU’LL DO
- 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.
BASIC QUALIFICATIONS
* 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.
PREFERRED QUALIFICATIONS
* [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.
INTRODUCTION
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.
ROLE
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 Spring & Summer 2026. We are looking for interns/co-ops who can commit to 3-6 months at PathAI (4-6 months preferred).
LOCATION
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).
WHAT YOU’LL DO
- 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.
BASIC QUALIFICATIONS
* 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.
PREFERRED QUALIFICATIONS
* [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 51+ STEM OPT Machine Learning Intern Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Machine Learning Intern
Verify your CIP code before applying
Check your degree's CIP code against the official STEM Designated Degree Program List to confirm STEM OPT eligibility. Computer science, statistics, and electrical engineering codes commonly support ML intern roles, but data science program codes vary by institution.
Confirm E-Verify enrollment before accepting offers
Search the E-Verify employer database to confirm a company is actively enrolled before signing an offer. Startups and research labs frequently hire ML interns but may not yet be enrolled, which disqualifies them as STEM OPT employers.
Draft your I-983 around measurable ML deliverables
Your I-983 training plan must link specific learning objectives to your ML intern work. Frame deliverables around model evaluation metrics, dataset pipelines, or deployment tasks rather than vague project descriptions that DSOs commonly flag for revision.
Target employers with established research infrastructure
Use Migrate Mate to filter for employers with active STEM OPT hiring history in machine learning and data science roles. Companies running internal research teams or university partnerships are structured to support the E-Verify and I-983 compliance process.
Apply early if your OPT end date overlaps cap season
If your initial OPT expires between April and September, cap-gap protection can extend your authorization through September 30 while an H-1B visa petition is pending. Submit your STEM OPT extension application to USCIS at least 90 days before your EAD expires.
Use O*NET to align your training plan job zone
Look up the Machine Learning Engineer or Data Scientist occupation in O*NET to identify the job zone and typical education requirements. Use that language in your I-983 to demonstrate the role requires your STEM degree rather than general technical skills.
Frequently Asked Questions
Does a Machine Learning Intern role qualify for the STEM OPT extension?
It qualifies if your degree is on the STEM Designated Degree Program List and your employer is enrolled in E-Verify. Machine learning intern positions typically require a background in computer science, statistics, applied mathematics, or a related STEM field. Your DSO confirms eligibility based on your specific CIP code, not the job title alone.
What does an employer need to do to hire you on STEM OPT?
The employer must be enrolled in E-Verify and co-sign your I-983 training plan before your STEM OPT extension begins. The I-983 requires them to describe your learning objectives, supervision structure, and how the role relates to your STEM degree. Employers who haven't hired STEM OPT students before often need guidance on this step.
How do you find Machine Learning Intern roles from employers already enrolled in E-Verify?
Migrate Mate lets you search machine learning intern positions filtered by employers with verified STEM OPT hiring history. You can also cross-reference a company's E-Verify status directly through the E-Verify employer search before applying, which saves time if you're targeting smaller research teams or early-stage companies.
What happens to your work authorization if your OPT expires during H-1B cap season?
If your employer files an H-1B petition on your behalf before your OPT expires, cap-gap protection extends your work authorization through September 30 of that fiscal year. You can continue working in your Machine Learning Intern or full-time ML role during this period without interruption, provided the petition remains pending or approved.
Can a part-time Machine Learning Internship count toward STEM OPT?
USCIS requires STEM OPT employment to be at least 20 hours per week with a qualifying E-Verify employer. A part-time ML internship at or above that threshold is generally acceptable, but the I-983 training plan must reflect a genuine learning experience tied to your STEM degree, not a minimal or administrative role.