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Fractional Machine Learning Lead
Fractional / Part-Time
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Chicago, IL (Hybrid)
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About Theta Neurotech
Theta Neurotech is developing a wearable EEG patch designed to predict epileptic seizures 30 to 60 minutes before onset. The company focuses on improving quality of life for the 1.1 million Americans and 30 million people globally living with drug-resistant epilepsy. By enabling preventative drug deployment, Theta Neurotech aims to reduce seizure-related risks and support more independent lifestyles. Applicants will join an early-stage team working at the intersection of neuroscience, medical devices, and advanced machine learning to build clinically meaningful technology.
Role Overview
The Fractional Machine Learning Lead will provide part-time technical leadership for the design, development, and optimization of ML and deep learning models that power Theta Neurotech's seizure prediction system. This is a part-time hybrid role based in Chicago, IL, with a mix of on-site collaboration and work-from-home flexibility.
Key Responsibilities
Define model architectures and implement and evaluate algorithms
Collaborate with product and clinical partners to translate EEG data into robust predictive insights
Establish best practices for data preprocessing, feature engineering, experimentation, and deployment
Mentor team members and contribute to technical roadmaps
Qualifications
Strong foundation in Computer Science, including data structures, algorithms, and software engineering principles
Hands-on experience in Machine Learning and Deep Learning, with a track record of building and deploying models in production or research settings
Proficiency in Statistics for experimental design, model evaluation, and analysis of noisy physiological or time-series data
Ability to design and optimize algorithms for large-scale or real-time inference, preferably in signal processing or biomedical applications
Advanced programming skills in languages such as Python, and experience with ML frameworks (e.g., PyTorch, TensorFlow)
Experience working with time-series, biosignal, or EEG data; familiarity with healthcare or regulated environments is beneficial
Effective communication skills, with the ability to explain technical concepts to cross-functional partners and document decisions clearly
Graduate-level degree (MS or PhD) in Computer Science, Electrical Engineering, Data Science, or a related quantitative field, or equivalent practical experience
How to Apply
If you are interested or know someone who would be a great fit, please contact Truman Pierson at truman@thetaneurotech.com
