Senior Algorithm Engineer
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Job Description
Senior Algorithm Engineer developing production biosignal and deep-learning models for Beacon Biosignals’ precision brain medicine platform. Leading medical-device algorithms from data curation through validation and deployment.
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, including determining when to apply deep learning techniques versus other methods
- Enhance internal deep learning and machine learning tools, introduce new model architectures and algorithmic techniques, and refine the codebase for reusability and rapid experimentation
- Spread and improve best practices for user-friendly, well-documented, thoroughly tested algorithm implementations, 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 of Beacon algorithms for customers and future algorithm development
Requirements:
- More than 4 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 for training, developing, and deploying deep learning models
- Familiarity with current deep learning advances, including Transformer/ViT, large-scale modeling, and large model training
- Knowledge of software and ML engineering best practices, including 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 discuss and present complex technical topics appropriately for internal and external audiences
- Excitement to participate in the full algorithm development lifecycle, including scoping, data wrangling, experimentation, formal validation, quality/regulatory documentation, production deployment, and client collaboration
Benefits:
- Equity
- PTO
- Other benefits
- Primarily remote work
- Access to in-person office hubs in Boston, New York City and Paris
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