Algorithm Engineer
Beacon Biosignals12 days ago
Remote, United States or Boston, MA, USAMid Level
H1B sponsor
Base Salary
$150k - $170k/yr
Responsibilities
- Lead the full biosignal-based algorithm development lifecycle for medical devices, from specifications and data curation through development, validation, production, maintenance, and documentation.
- Select and implement appropriate machine learning, deep learning, digital signal processing, statistical, or other methods for each problem.
- Improve internal machine learning and deep learning tools, model architectures, algorithmic techniques, and reusable code to support rapid experimentation.
- Apply software and ML engineering best practices, including unit testing, documentation, CI, and non-regression testing.
- Present results to stakeholders and help clients use Beacon algorithms.
- Support client-facing projects and assess the impact of existing and future algorithms.
Requirements
- More than four years of industry experience in machine learning and deep learning, particularly in health sciences or other regulated fields.
- Demonstrated experience bringing algorithms into production.
- Experience with digital signal processing and statistics.
- Proficiency with PyTorch or other deep learning frameworks for training, developing, and deploying deep learning models.
- Familiarity with current deep learning advances, including Transformers, Vision Transformers, large-scale modeling, and large-model training.
- Knowledge of software and ML engineering practices such as testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking.
- Familiarity with biosignals, medical imaging data, or large time-series datasets, or enthusiasm for learning the domain.
- Ability to communicate complex technical topics appropriately to internal and external audiences.
- Ability to participate across algorithm scoping, data wrangling, experimentation, formal validation, quality and regulatory documentation, production deployment, and client collaboration.
Benefits
- Remote work is supported, with in-person office hubs in Boston, New York City, and Paris.
- Total compensation includes equity, paid time off, and other benefits.
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