Machine Learning Intern/Co-op

About the role

<h2>Who We Are</h2> <p>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. The listing location is Boston (Onsite), New York (Onsite) Preferred, or Remote.

Key facts

What you'll do

• <h2>Who We Are</h2> <p>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.</p> <h2>Where You Fit </h2> <p>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.<br><br>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.<br><br><strong>Timeline: </strong>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).</p> <p><strong>

Location:</strong> 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).</p> <h2>What You'll Do</h2> <ul> <li>Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models.</li> <li>Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques.</li> <li>Partner with our MLOps and platform teams to help build and improve our ML pipelines.</li> <li>Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs.</li> </ul> <h2>What You Bring </h2> <ul> <li>Currently pursuing a M.S., or Ph.D.

Requirements

• 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.</p> <h2>Where You Fit </h2> <p>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.<br><br>You will collaborate with a cross-functional team of scientists, engineers, and product managers to translate clinical needs into scalable ML solutions.
• in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning.</li> <li>Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow).</li> <li>A solid grasp of the fundamentals of machine learning and/or computer vision.</li> <li>Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment.</li> <li>A passion for our mission to improve patient outcomes.</li> <li>[Nice-to-have] Any high impact contributions through any AI/ML publications, open-source projects and any AI based products.</li> </ul> <p>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.
• We base our employment decisions on business needs, job requirements, and qualifications - that's all.

About PathAI

PathAI is hiring on this board. Public listings from the company typically describe the team, the problem space, and how to apply. This page uses only that public listing plus general context. No extra perks or stack items were added.

Data and ML work turns messy inputs into measures a team can act on. Analysts and scientists clean datasets, choose metrics, and explain uncertainty. Engineers in this family also keep pipelines from breaking when schemas change. Nothing in this section adds model types or tools unless the listing named them. It only describes how data roles generally operate.