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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 Machine Learning Engineer, you will join Beacon's analytics and machine learning domain, working alongside data scientists, neuroscientists, engineers, and clinicians to scope, build, 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:
- Participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices, including specifications gathering, data curation and labeling, 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 algorithmic techniques, and refine the codebase for reusability
- Spread and improve best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested with unit tests, comprehensive documentation, 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
Required qualifications:
- 4+ years of industry experience in machine learning and deep learning, particularly in health sciences or regulated fields, with proven track record of bringing algorithms into production
- Expertise in digital signal processing (DSP) and statistics, with judgment about when to use machine learning versus other tools
- Proficiency in PyTorch (preferred) or other deep learning frameworks
- Familiarity with latest deep learning advances (Transformers, ViT, large-scale modeling)
- Strong software and ML engineering practices including testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking
- Experience with biosignals, medical imaging data, or large time-series datasets, or enthusiasm to learn
- Strong collaboration and communication skills
- Ability to distill and present complex technical topics appropriately for different audiences
- Excitement about participating in the entire algorithm development lifecycle from scoping through production deployment and client engagement
Beacon maintains office hubs in Boston, New York City, and Paris, with robust asynchronous work practices supporting a first-class remote experience.
