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Beacon Biosignals

Senior Algorithm Engineer

Beacon Biosignals

Senior Algorithm Engineer developing machine learning models for precision medicine at Beacon Biosignals. Collaborating with data scientists and engineers to analyze brain and biosignal data.

Posted 7/13/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive experience in machine learning and deep learning within regulated fields, particularly health sciences, with a strong focus on biosignal processing and algorithm development for medical devices. Proficient in implementing best practices in software and ML engineering to enhance team efficiency and ensure high-quality algorithm implementations.

Highest-signal resume keywords
Machine Learning ExpertiseDeep Learning FrameworksDigital Signal ProcessingBiosignal ProcessingCI/CD Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningDeep LearningDigital Signal ProcessingStatisticsAlgorithm DevelopmentPyTorchTransformer ModelsLarge Scale ModelingDockerizationExperiment Tracking
Soft Skills
Presentation SkillsCollaborationProblem Solving
Industry Keywords
Health SciencesRegulated FieldsMedical ImagingTime-Series DatasetsBest Practices

Tech Stack

Tools & technologies
PyTorch

About the role

Key responsibilities & impact
  • participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices
  • select, implement, and develop the most appropriate method for each problem
  • enhance our internal deep learning and machine learning tools to boost team efficiency
  • spread and improve our best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested
  • present results to key stakeholders
  • support the client-facing projects to understand and shape the impact Beacon algorithms have for our customers

Requirements

What you’ll need
  • more than 5 years of industry experience in machine learning and deep learning, particularly in health sciences or other regulated fields
  • experienced with digital signal processing (DSP) and statistics
  • proficient in using PyTorch (preferred) or other deep learning frameworks
  • proficient with latest Deep Learning advances (Transformer/ViT, large scale modeling, large model training)
  • follow and spread best practices in software and ML engineering, including testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking.
  • experienced with biosignals, medical imaging data, or large time-series datasets

Benefits

Comp & perks
  • equity
  • PTO
  • flexible work arrangements