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Machine Learning Intern/Co-op (Fall 2026)

PathAI -
Boston, MA

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Job Details

Internship

Qualifications

AI models
TensorFlow
Research design
Computer Science
PyTorch
Computer vision
Design of experiments
Biomedical Engineering
AI platforms (beyond public GPTs)
Computational framework
Collaboration with product development teams
Analysis skills
Machine intelligence
Model deployment
Scalability
Engineering product development
Open source contribution
Machine learning libraries
Electrical Engineering
Model evaluation
Machine learning frameworks
Communication skills
MLOps
Entry level
Cross-functional communication

Full Job Description

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).

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.

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.

Apply Now

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