
Senior Algorithm Engineer
Beacon Biosignals12 days ago
Base Salary
$170k - $190k/yr
Responsibilities
- Lead and participate in the complete biosignal algorithm development lifecycle for medical devices, including specifications, data curation and labeling, development, failure analysis, production, maintenance, and documentation.
- Select, implement, and develop appropriate statistical, signal-processing, machine learning, and deep learning methods for each problem.
- Improve internal machine learning and deep learning tools, model architectures, algorithmic techniques, and reusable code to support rapid experimentation.
- Promote well-documented, user-friendly, and thoroughly tested algorithm implementations, including unit testing, continuous integration, and non-regression testing.
- Present technical results to stakeholders and support clients in applying Beacon algorithms.
- Partner with client-facing teams to understand and shape the impact of deployed and future algorithms.
Requirements
- More than 5 years of industry experience in machine learning and deep learning, particularly in health sciences or other regulated fields, with a record of bringing algorithms into production.
- Experience with digital signal processing and statistics, including judgment about when methods beyond machine learning are appropriate.
- Proficiency with PyTorch or other deep learning frameworks for training, developing, and deploying models.
- Knowledge of current deep learning techniques, including Transformers, Vision Transformers, large-scale modeling, and large-model training.
- Experience with software and machine learning engineering practices such as testing, version control, code reviews, documentation, Dockerization, continuous integration and deployment, and experiment tracking.
- Experience 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 and willingness to participate in algorithm scoping, data wrangling, experimentation, formal validation, quality and regulatory documentation, production deployment, and client collaboration.
- Ability to collaborate effectively in a team environment with open communication and continuous feedback.
Benefits
- Fully remote role based anywhere in the United States, with office hubs in Boston, New York City, and Paris.
- Total compensation includes equity, paid time off, and other benefits.