📋 Description

• Lead and contribute to lifecycle of biosignal-based algorithms for medical applications
• Select analytical approaches; apply ML/DL when best; leverage DSP/statistics where appropriate.
• Develop, train, validate, and deploy ML/DL models for brain, EEG, and biosignal data.
• Advance new model architectures and techniques; improve tooling for experimentation and model
• Enhance ML infrastructure for efficient experimentation, composability, maintainability, and rapid
• Establish and promote software/ML engineering practices: unit tests, code reviews, VCS, CI/CD

🎯 Requirements

• 5+ years in ML/DL; experience in health sciences/regulated environments; proven production
• Strong DSP, statistics, and algorithm development; ability to choose appropriate methods over
• Hands-on PyTorch (or similar) for model development, training, evaluation, deployment.
• Expertise in modern DL techniques: Transformers, ViT, large-scale modeling, large-model training.
• Experience applying ML to biosignals, medical imaging, or large-scale time-series; biosignals
• Strong software/ML engineering practices: testing, version control, docs, Docker, CI/CD, experiment

🎁 Benefits

• Salary: $170,000–$190,000 base salary for U.S.-based candidates, depending on experience, skills
• Total compensation: Base salary plus equity, PTO, and additional benefits.
• Work arrangement: Fully remote position based anywhere in the United States; optional in-person
• Opportunity to work at intersection of ML, neuroscience, biosignals, and clinical applications.
• Impact on neurological, psychiatric, and sleep disorder research and care.
• Collaboration across data science, neuroscience, engineering, clinical, and customer teams.