We are hiring machine learning interns to train and test models that diagnose and predict neuropsychiatric conditions using physiological data. In this role, you will be working on a team with engineers and statisticians to research solutions for healthcare diagnostics and treatment areas, starting with Alzheimer\'s Disease and Major Depressive Disorder, among others.
Key Responsibilities
Design, train, and implement machine learning models to classify and predict neuropsychiatric conditions;
Collaborate with our interdisciplinary team to develop, test, and rank models that will be selected for product integration;
Collaborate with leading scientific researchers on scientific publications;
Keep up to date with ML and deep learning research literature \xe2\x80\x93 implement novel techniques from adjacent research areas (e.g. audio and video engineering, speech recognition, eye movement), to develop the highest performing models for healthcare applications.
Qualifications
Master\'s or PhD student in machine learning, computer science, neuroscience, or other related fields;
Demonstrable proficiency writing code in Python, in particular with Tensorflow, Scikit-learn, PyTorch, Keras or similar (familiarity with Tensorflow is ideal, but flexibility across toolchains is strongly preferred);
Excellent presentation and communication skills \xe2\x80\x93 published work such as papers, code, talks are a plus.
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