Founding Intern, Core AI Research

Would you be interested in building deep learning models on real medical data that save lives? At Veevo Health, our mission is to build a future free of heart disease. Heart disease is the #1 cause of death globally, bigger than all cancers combined, even though over 80% of it is preventable. We're building state-of-the-art AI models that analyze heart images to provide precise understanding of heart health and risks, empowering people to prevent the disease before it's too late. We're looking for a curious, self-driven intern to help design, build, and train deep learning models on real-world cardiac imaging datasets. You'll work directly with the founding team and contribute to models that will be used in production. This is a part-time role (~20-25 hrs/week). If you're patient, like to put sustained effort, are driven by curiosity, and strive for excellence, then this role is for you. This role requires that you have a good grasp of the foundations of deep learning and hands-on experience building and training AI models. This role will help you leapfrog from your current experience to becoming an expert in AI research. Responsibilities Build and train deep learning models for large medical image analysis. Run experiments, analyze results, and iterate on model architectures. Read and implement techniques from recent research papers. Collaborate with the founding team to translate research into production-ready models. Qualifications Currently pursuing a degree in a quantitative field (CS, EE, Math, Physics, or similar). We prioritize your ability to learn quickly and think from first principles over your specific major. Experience training deep learning models in PyTorch (coursework or personal projects count). Comfortable reading ML papers and trying implementations. You're patient with research and debugging, curious about why things work, and persistent when they don't.