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.