Senior Algorithm Engineer
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Job Description
Senior Algorithm Engineer developing and deploying ML models on EEG and biosignals. Advancing precision medicine for neurological, psychiatric, and sleep disorders at Beacon Biosignals.
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 appropriate methods for each problem, including determining when to use deep learning versus other methods
- 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 enable rapid experimentation
- Establish and improve best practices for user-friendly, documented, and 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 algorithms for customers
- Collaborate with data scientists, neuroscientists, engineers, and clinicians on models analyzing brain and biosignal data
Requirements:
- 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
- Best practices in software and ML engineering, 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 in the domain
- Ability to distill, discuss, and present complex technical topics appropriately for internal and external audiences
- Excitement to participate in the full algorithm development lifecycle, including formal validation, quality/regulatory documentation, production deployment, and client collaboration
- Ability to collaborate effectively in a team environment
Benefits:
- Equity
- PTO
- First-class remote work experience
- In-person office hubs in Boston, New York City and Paris
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