Machine Learning Engineering Intern

As an intern, you'll get real, scoped work on our ML pipelines — with senior mentorship the whole way. Because we work in a privacy-sensitive domain, you'll build against synthetic and public data, so it's meaningful hands-on work with zero exposure to sensitive information.

What you might do 👇 • Work with modern AI/ML services to pull useful info from images and text • Help decide when a model's output is reliable — and when a human should check it • Build datasets, tests, and dashboards to measure and track model quality • Write tests and docs alongside your code

What we're looking for 👇 • Pursuing a degree in CS, data science, ML, or similar (or equivalent self-taught experience) • Comfortable with Python • A foundational grasp of ML concepts and genuine curiosity about the field • Attention to detail and clear communication

Nice to have (not required): experience with NumPy/pandas/scikit-learn or a DL framework, exposure to AWS, any audio/speech or NLP work, and an interest in healthcare or responsible AI.