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.