Machine Learning Research Intern

Key Skills

Python Programming, C++, Machine learning techniques, Deep Learning, Natural Language Processing (NLP), PyTorch, TensorFlow, AI technology, Applied Machine Learning

Job Description

Curai is a health tech company with a mission to make the world's best healthcare accessible to everyone. We provide affordable, top quality care to our patients via our virtual primary healthcare clinic, assisted by machine learning. Curai's small but diverse team includes doctors, senior engineers, researchers, and leaders previously from companies like Google, Amazon, Facebook, and Netflix, colleges like Stanford and CMU, and local coding schools like Hackbright and Rithm school. We have research partnerships with leading universities in the country, and access to medical data that facilitates research in this space. Check out some of our work on our blog.

We are looking for Machine Learning Engineering interns from strong technical backgrounds, who share our passion to make a positive impact in the lives of millions of people. ML Engineering interns at Curai get to implement novel ML applications to lower the cost and friction of high-quality health care for patients around the world.

Our current openings are for Fall.

Our current focus areas include clinical decision making (e.g medical diagnosis in-the-wild and explainability), medical NLP (e.g. medical dialogs in the wild, summarization), and ML learning loops in a healthcare context.

At Curai, ML Engineer interns are mentored 1:1 by experienced ML Engineers and Researchers, and get to collaborate with our clinical team on solving real problems, using real data.

In this role you will:

• Collaborate with experienced ML Engineers to design and develop AI systems serving our patients and our providers.
• Analyze the performance of ML models on complex healthcare applications, in areas such as medical NLP, clinical decision making, ML learning loops, and drive improvement recommendations.
• Deploy, assess, then improve production facing ML models hosted in the cloud.
• Document and present the results of your work to both technical and non-technical audiences across the organization.

We offer competitive compensation, and the ability to leave your footprint in the early stages of a company that will change the world for the better. We are located in Palo Alto, in the heart of Silicon Valley but internships are fully remote, can start any time of the year and typically last 12 weeks, though we are always open to collaboration beyond the internship.