Senior Algorithm Engineer
About this role
Developing, deploying, and maintaining machine learning and deep learning models to analyze brain and biosignal data forms the core of daily tasks in this position. Operating within the analytics and machine learning domain, the team collaborates closely with data scientists, neuroscientists, engineers, and clinicians to advance therapy development for sleep, neurological, and psychiatric disorders.
This role exists to scope and build biosignal-based algorithms for medical devices while enhancing internal machine learning tools and maintaining rigorous software engineering standards. Ideal candidates bring industry experience in regulated fields, a preference for simplicity and composability, and strong communication skills to present results to internal and external stakeholders.
What you will do
- Participate in and lead the complete development lifecycle for biosignal-based algorithms used in medical devices.
- Select and implement appropriate methods for specific problems, balancing deep learning with alternative techniques.
- Enhance internal deep learning and machine learning tools to improve team efficiency and enable rapid experimentation.
- Promote engineering best practices such as thorough testing, continuous integration, and comprehensive documentation.
- Present analytical results to key stakeholders and support client-facing projects to clarify algorithm impact.
What you need
- Bring over five years of industry experience in machine learning and deep learning within health sciences or other regulated fields.
- Demonstrate proficiency in digital signal processing, statistics, and selecting appropriate technical solutions.
- Show proficiency with PyTorch or alternative deep learning frameworks for training and deploying models.
- Stay current with recent deep learning advances including transformers, vision transformers, and large-scale modeling.
- Apply software engineering best practices including version control, containerization, and experiment tracking.
- Possess familiarity or strong enthusiasm for working with biosignals, medical imaging, or large time-series datasets.
Benefits
- Equity
- PTO
Skills and tech stack
Questions candidates ask
What is the remote work policy for this position?
This is a fully remote role that can be based anywhere in the United States, supported by in-person office hubs in Boston, New York City, and Paris.
What is the salary range for the role?
The US-based salary range spans from $170,000 to $220,000, determined using market compensation data and adjusted for experience, skills, and location.
What frameworks and technical skills are required?
Candidates should be proficient in using PyTorch or other deep learning frameworks, along with experience in digital signal processing, statistics, and software engineering best practices.
The application is on the official Beacon Biosignals careers page.
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