Senior Algorithm Engineer

Beacon Biosignals

. Participate in and lead the complete biosignal-based algorithm development lifecycle for medical devices, including specifications and requirements gathering, data curation and labeling, development, failure analysis, production, maintenance, and documentation .

Posted 9/15/2026full-timeRemote • United StatesSenior💰 $170,000 - $190,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in machine learning and deep learning, particularly within health sciences, with a strong focus on algorithm development, production deployment, and collaboration across multidisciplinary teams. Proficient in implementing best practices for software and ML engineering, including testing, documentation, and CI/CD processes.

Highest-signal resume keywords

Machine LearningDeep LearningDigital Signal ProcessingPyTorchAlgorithm Development Lifecycle

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningDigital Signal ProcessingStatisticsAlgorithm DevelopmentModel TrainingData WranglingQuality DocumentationUnit TestingCI/CD

Soft Skills

CollaborationOpen CommunicationContinuous FeedbackPresentation Skills

Tools & Technologies

PyTorchDockerCI/CD ToolsVersion Control Systems

Industry Keywords

Health SciencesBiosignalsMedical ImagingRegulated FieldsLarge Time-Series Datasets

Tech Stack

Tools & technologies

PyTorch

About the role

Key responsibilities & impact

Participate in and lead the complete biosignal-based algorithm development lifecycle for medical devices, including specifications and requirements gathering, data curation and labeling, development, failure analysis, production, maintenance, and documentation
Select, implement, and develop appropriate methods for each problem, including determining when deep learning or other methods are most effective
Enhance internal deep learning and machine learning tools to improve team efficiency
Introduce new model architectures and algorithmic techniques
Refine the codebase to encourage reusability and rapid experimentation
Establish and improve best practices for user-friendly, well-documented, thoroughly tested algorithm implementations
Implement unit tests, comprehensive documentation, CI, and non-regression testing
Present results to key stakeholders and assist with algorithm use for client engagement
Support client-facing projects and shape the impact of existing and future Beacon algorithms for customers
Collaborate with data scientists, neuroscientists, engineers, and clinicians to build, deploy, and maintain models analyzing brain and biosignal data

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
Proven track record of bringing algorithms into production
Experience with digital signal processing (DSP) and statistics
Proficiency with PyTorch or other deep learning frameworks
Proficiency with current deep learning advances, including Transformer/ViT, large-scale modeling, and large-model training
Software and ML engineering best practices, including testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking
Experience with biosignals, medical imaging data, or large time-series datasets, or enthusiasm for learning more in the domain
Ability to distill, discuss, and present complex technical topics appropriately for internal and external audiences
Ability to participate in the full algorithm development lifecycle, including scoping, data wrangling, experimentation, formal validation, quality/regulatory documentation, production deployment, and client collaboration
Collaboration, open communication, and continuous feedback in a team environment

Benefits

Comp & perks

Equity
Paid time off (PTO)
First-class remote work experience
In-person office hubs in Boston, New York City, and Paris
Diverse and collaborative work environment