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AI Research Engineer (Staff) - Engineering Transformation
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AI Summary
Develop and deploy machine learning and deep learning models for analyzing brain and biosignal data in medical devices. Lead the full algorithm development lifecycle, from data curation and labeling to production maintenance and regulatory documentation. Requires 5+ years of experience in ML/DL, digital signal processing, and proficiency in PyTorch or similar frameworks.
Key Highlights
Fully remote role based anywhere in the U.S.
Salary range of $170,000 – $220,000 plus equity and benefits
Focus on at-home EEG and biosignal data for precision medicine
Key Responsibilities
Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices including specifications, data curation, development, failure-analysis, production, maintenance, and documentation.
Select, implement, and develop the most appropriate method for each problem, determining when to apply deep learning techniques versus other methods.
Enhance internal deep learning and machine learning tools to boost team efficiency, introduce new model architectures, and refine the codebase for reusability.
Spread and improve best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested, including unit tests, CI, and non-regression testing.
Present results to key stakeholders and assist them in utilizing algorithms for client engagement.
Support client-facing projects to understand and shape the impact of Beacon algorithms for customers.
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Nice to Have
Experience with biosignals, medical imaging data, or large time-series datasets
Enthusiasm for learning more in the domain of biosignals and medical imaging
Job Description
Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology.
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