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Beacon Biosignals is transforming precision medicine for the brain through at-home EEG and biosignal platforms for clinical development and diagnostics. The company combines EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders.
As a Senior Machine Learning Engineer, you will be a core member of Beacon's analytics and machine learning domain, working alongside data scientists, neuroscientists, engineers, and clinicians to develop, deploy, and maintain machine and deep learning models that analyze brain and biosignal data for advancing sleep, neurological, and psychiatric therapy development.
Key responsibilities include:
- Lead the entire biosignal-based algorithm development lifecycle for medical devices, from specifications and requirements gathering through data curation, development, failure analysis, production, maintenance, and documentation
- Select and implement appropriate methods for each problem, knowing when to apply deep learning versus other techniques
- Enhance internal deep learning and machine learning tools to boost team efficiency, introduce new model architectures, and refine codebases for reusability
- Establish and improve best practices ensuring algorithm implementations are user-friendly, well-documented, and thoroughly tested (unit tests, CI/CD, non-regression testing)
- Present results to key stakeholders and support client-facing projects to understand algorithm impact
- Contribute to both existing deployed algorithms and future algorithm development
You bring 4+ years of industry experience in machine learning and deep learning, particularly in health sciences or regulated fields, with a proven track record of bringing algorithms into production. You have strong expertise in digital signal processing (DSP) and statistics, proficiency in PyTorch or other deep learning frameworks, and familiarity with latest advances (Transformers, ViT, large-scale modeling). You follow best practices in software and ML engineering including testing, version control, code reviews, documentation, Dockerization, and CI/CD. Experience with biosignals, medical imaging, or large time-series datasets is valued. You thrive in collaborative team environments, communicate complex technical topics effectively to diverse audiences, and are excited about the full algorithm development lifecycle from scoping through production deployment.
