Beacon Biosignals · 1 month ago
Algorithm Engineer IV
Beacon Biosignals is on a mission to revolutionize precision medicine for the brain. The Algorithm Engineer IV will participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices, working alongside data scientists, engineers, and clinicians to enhance machine learning models for neurological and psychiatric therapy development.
Artificial Intelligence (AI)Health CareHealth DiagnosticsMachine LearningMedical Device
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 our 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 our 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 the client-facing projects to understand and shape the impact Beacon algorithms have for our customers, both for existing deployed algorithms, and future algorithm development
Qualification
Required
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 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
Can 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
Benefits
Equity
PTO
Other benefits
Company
Beacon Biosignals
Beacon Biosignals is a neurotechnology company that brings precision neuroscience into clinical trials and treatments.
H1B Sponsorship
Beacon Biosignals has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
Funding
Current Stage
Growth StageTotal Funding
$116MKey Investors
General Catalyst
2025-11-13Series B· $86M
2021-11-08Series A· $27M
2019-06-01Seed· $3M
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