Machine Learning Intern/Co-op, PathAI
Summer 2026
More information about location
AI-powered pathology tools
Open for applications
AI-powered pathology tools
501-1000 employees
Open for applications
More information about location
501-1000 employees
Company mission
To improve patient outcomes with AI-powered pathology.
Role
Who you are
- 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!
- 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
What the job involves
- 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)
- 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
Our take
PathAI is a leader in the field of AI-powered pathology, dedicated to transforming patient outcomes by harnessing the power of AI. Its core mission revolves around enhancing the accuracy of diagnoses and the effectiveness of disease treatments, particularly in critical areas like cancer.
PathAI's pioneering spirit is evident through its breakthroughs, exemplified by innovations such as the AIM-HER2 Breast Cancer algorithm. This tool automates HER2 scoring and introduces a novel approach with additive multiple instance learning (aMIL) heatmaps, offering insights into scoring mechanisms. Additionally, PathAI's PathExplore panel of human interpretable features (HIFs) fosters collaborative research, thus enhancing understanding of the tumor microenvironment.
As the company moves forward, it is poised to continue shaping the landscape of AI-powered pathology, driving advancements in medical research, diagnostics, and drug development, while upholding its central mission to improve patient well-being.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 7 rounds)
May 2021
$165m
SERIES C
Nov 2019
$15m
SERIES B
Total funding: $258.6m
Company benefits
- Comprehensive Health Plans
- Paid Time Off & Paid Holidays
- Wellness Benefits
- 401(k) Program
- Parental Leave
Company HQ
West Fens, Boston, MA
Leadership
Andrew Beck
(Co-Founder & CEO)Graduated from Stanford University with a PhD in Biomedical Informatics. Previously worked at Harvard Medical School as a Professor of Pathology.
Aditya Khosla
(Co-Founder & Advisor)Graduated from the Massachusetts Institute of Technology with a PhD in Computer Science. They now serve as the CTO at Iterative Health.
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