Senior Algorithm & ML Engineer — Remote Health Tech

Beacon-Biosignals; San Francisco (CA); On-site; USD 170,000 - 190,000; Full time

Job summary

Beacon Biosignals seeks a Senior Algorithm and Machine Learning engineer to scope, build, deploy, and maintain biosignal analysis models for sleep, neurological, and psychiatric therapy development. You will collaborate with data scientists, neuroscientists, engineers, and clinicians to advance clinical-grade AI.

This fully remote role is open to US-based candidates and offers a competitive salary with equity and PTO.

Qualifications

• More than 5 years of industry experience in machine learning and deep learning in health sciences or other regulated fields.

Responsibilities

• Lead the biosignal-based algorithm development lifecycle from specification to production, deployment, and maintenance.
• Select, implement, and develop appropriate methods for each problem, knowing when to apply deep learning versus other approaches.
• Enhance internal DL/ML tools, introduce new architectures and techniques, and improve code reusability for rapid experimentation.
• Ensure implementations are well-documented, tested, and version-controlled with CI and non-regression testing.
• Present results to stakeholders and assist with client engagement.
• Support client-facing projects to understand algorithm impact for customers and future development.

Skills

Machine learning

Deep learning

PyTorch

Biosignals

DSP

Statistics

Software engineering

Docker

CI/CD

Experiment tracking

Tools

Docker

CI/CD

Job description

Beacon Biosignals seeks a Senior Algorithm and Machine Learning engineer to scope, build, deploy, and maintain biosignal analysis models for sleep, neurological, and psychiatric therapy development. You will collaborate with data scientists, neuroscientists, engineers, and clinicians to advance clinical-grade AI.

This fully remote role is open to US-based candidates and offers a competitive salary with equity and PTO.