Senior Algorithm Engineer

Beacon Biosignals•Boston, MA

1d•Remote

About The Position

Beacon Biosignals is seeking a Senior Algorithm and Machine Learning engineer to join their analytics and machine learning domain. In this role, you will work alongside data scientists, neuroscientists, engineers, and clinicians to scope, build, deploy, and maintain machine and deep learning models for analyzing brain and biosignal data. The goal is to advance the development of sleep, neurological, and psychiatric therapies. Beacon values team members who demonstrate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and empathy. The company supports a remote work experience and has office hubs in Boston, New York City, and Paris.

Requirements

More than 5 years of industry experience in machine learning and deep learning, particularly in health sciences or other regulated fields, with a proven track record of bringing algorithms into production.
Experienced with digital signal processing (DSP) and statistics.
Proficient in using PyTorch (preferred) or other deep learning frameworks for training, developing, and deploying deep learning models.
Proficient with latest Deep Learning advances (Transformer/ViT, large scale modeling, large model training, ...).
Follow and spread best practices in software and ML engineering, including testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking.
Experienced with biosignals, medical imaging data, or large time-series datasets, or are enthusiastic about learning more in the domain.
Thrive in a team environment, recognizing that collaboration, open communication, and continuous feedback are essential for collective success.
Able to distill, discuss, and present complex technical topics in a way that is appropriate for the audience at hand, both internally and externally.
Excited to participate in the entire algorithm development lifecycle, which spans scoping, data wrangling, algorithm development/experimentation, formal validation, quality/regulatory documentation, production deployment, and working with clients who might benefit from these algorithms.

Responsibilities

Participate in and lead the entire 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 the most appropriate method for each problem, knowing when to apply deep learning techniques and when other methods are more effective.
Enhance internal deep learning and machine learning tools to boost team efficiency, introduce new model architectures and algorithmic techniques, and refine the codebase to encourage reusability where needed to enable rapid experimentation.
Spread and improve best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested, including unit tests, comprehensive documentation, CI, and non-regression testing.
Present results to key stakeholders and assist them in utilizing algorithms for client engagement.
Support client-facing projects to understand and shape the impact Beacon algorithms have for customers, both for existing deployed algorithms, and future algorithm development.