Senior Biosignal ML Engineer (Remote)

Visa Hunt; United States; On-site; USD 170,000 - 190,000; Full time

Job summary

Beacon Biosignals is seeking a Senior Algorithm and Machine Learning engineer to lead the entire biosignal-based algorithm development lifecycle for medical devices and data-driven clinical insights. You will collaborate with data scientists, engineers, clinicians, and researchers to scope, build, deploy, and maintain models that analyze brain and biosignal data for therapy development.

We value curiosity, simplicity, composability, and empathy.

Qualifications

• 5+ years of industry experience in machine learning and deep learning, in health sciences or regulated fields.
• Experience with DSP and statistics; select the right tool for the job.
• Proficiency in PyTorch or another deep learning framework.
• Familiarity with biosignals, medical imaging, or large time-series datasets.
• Strong communication and collaboration in a cross-disciplinary team.

Responsibilities

• Lead end-to-end biosignal-based algorithm development lifecycle from specification to deployment.
• Select and apply appropriate methods, including deep learning and alternatives.
• Enhance internal ML tools, architectures, and reusable code for rapid experimentation.
• Ensure tests, docs, CI, and non-regression testing are in place.
• Present results to stakeholders and support client engagement.
• Support client projects to quantify Beacon algorithms' impact.

Skills

Machine learning

Deep learning

DSP

Statistics

PyTorch

Docker

CI/CD

Experiment tracking

Time-series

Tools

Docker

CI/CD pipelines

Experiment tracking

Job description

Beacon Biosignals is seeking a Senior Algorithm and Machine Learning engineer to lead the entire biosignal-based algorithm development lifecycle for medical devices and data-driven clinical insights. You will collaborate with data scientists, engineers, clinicians, and researchers to scope, build, deploy, and maintain models that analyze brain and biosignal data for therapy development.

We value curiosity, simplicity, composability, and empathy.