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Beacon BiosignalsBeacon BiosignalsBoston, MA

Algorithm Engineer

Build, deploy, and maintain machine and deep learning algorithms for biosignal-based medical devices, working across data curation, experimentation, validation, production, and client impact. Requires 4+ years of industry ML experience, DSP and statistics expertise, and proficiency with PyTorch or comparable frameworks.

150k – 170k/yr
Remote4+ YOEML Engineering

About the role

Responsibilities

  • Lead the full biosignal-based algorithm development lifecycle for medical devices, including requirements gathering, data curation and labeling, development, failure analysis, production, maintenance, and documentation.
  • Select, implement, and develop appropriate methods for each problem, including deep learning and other statistical or signal-processing approaches.
  • Improve internal machine learning and deep learning tools, introduce model architectures and algorithmic techniques, and refine codebases for reusable, rapid experimentation.
  • Promote best practices for user-friendly, documented, and tested algorithm implementations, including unit tests, CI, and non-regression testing.
  • Present results to stakeholders and support their use of algorithms in client engagements.
  • Support client-facing projects and assess the impact of deployed and future algorithms.

Requirements

  • More than 4 years of industry experience in machine learning and deep learning, particularly in health sciences or other regulated fields.
  • Proven experience bringing algorithms into production.
  • Experience with digital signal processing and statistics.
  • Proficiency with PyTorch or other deep learning frameworks for training, developing, and deploying models.
  • Familiarity with recent deep learning advances, including Transformers, Vision Transformers, large-scale modeling, and large-model training.
  • Knowledge of software and machine learning engineering practices, including testing, version control, code reviews, documentation, Docker, CI/CD, and experiment tracking.
  • Familiarity with biosignals, medical imaging data, or large time-series datasets, or enthusiasm for learning in the domain.
  • Ability to collaborate effectively and communicate complex technical topics to varied audiences.
  • Ability to participate across scoping, data wrangling, experimentation, formal validation, quality and regulatory documentation, production deployment, and client collaboration.

Compensation and Benefits

  • US-based salary range: $150,000–$170,000.
  • Compensation includes equity, paid time off, and other benefits.

Skills

Machine LearningDeep LearningPyTorchdigital signal processingStatisticsTransformersvision transformersPythonDockerCI/CDexperiment trackingbiosignalsmedical imagingtime-series data

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