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$170k–$190k/yr
Full-time
Equity, Paid Time Off
Posted 10h ago
~40 hrs/week
Remote in United States
Responsibilities
You will lead the biosignal-based algorithm development lifecycle, including requirements gathering, model development, and production deployment. Additionally, you will enhance internal machine learning tools and collaborate with cross-functional teams to support client-facing projects.
Requirements
Candidates must have over 5 years of industry experience in machine learning and deep learning, particularly within regulated fields like health sciences. Proficiency in digital signal processing, PyTorch, and modern deep learning architectures is required, along with strong software engineering best practices.
Full job description
Beacon Biosignals is transforming precision medicine for the brain, from clinical development to clinical care. For Life Sciences partners, we offer the leading at-home EEG platform for clinical development of novel therapeutics for neurological, psychiatric, and sleep disorders. Our Diagnostics business is building the most comprehensive at-home platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver reimbursable assessments for sleep and central nervous system disorders. Together, we're changing the way patients are diagnosed and treated for any disorder that affects brain physiology.
Beacon Biosignals is seeking a Senior Algorithm and Machine Learning engineer!
As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data scientists, neuroscientists, engineers, and clinicians to scope, build, deploy, and maintain the machine and deep learning models that analyze brain and biosignal data for advancing sleep, neurological, and psychiatric therapy development.
At Beacon, we've found that cultural and scientific impact is driven most by those who lead by example. As such, we're always seeking out new contributors whose work demonstrates innate curiosity, a bias toward simplicity, an eye for composability, a self-service mindset, and—most of all—a deep empathy toward colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.
Beacon's work practices ensure a first-class remote work experience, but we also have in-person office hubs in Boston, New York City and Paris. This is a fully remote role based anywhere in the U.S.
What success looks like
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.
What you will bring
You have 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.
You are experienced with digital signal processing (DSP) and statistics and care about using the right tool for the job, which in many cases might not be machine learning or deep learning.
You are proficient in using PyTorch (preferred) or other deep learning frameworks for training, developing, and deploying deep learning models.
You are proficient with latest Deep Learning advances (Transformer/ViT, large scale modeling, large model training, ...)
You follow and spread best practices in software and ML engineering, including testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking.
You are experienced with biosignals, medical imaging data, or large time-series datasets, or are enthusiastic about learning more in the domain.
You thrive in a team environment, recognizing that collaboration, open communication, and continuous feedback are essential for collective success.
You are able to distill, discuss, and present complex technical topics in a way that is appropriate for the audience at hand, both internally and externally.
You are 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.
The US-based salary range for this role is $170,000 – $190,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location. The base salary is one component of the total compensation package, which includes equity, PTO and other benefits.
At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.
#LI-Remote
Related keywords
Algorithm EngineerMachine LearningDeep LearningBiosignalsEEGPrecision MedicineDigital Signal ProcessingPyTorchTransformerViTTime-seriesSoftware EngineeringCI/CDDockerExperiment TrackingMedical Devices
Our mission is to improve human health by enabling rapid, targeted interventions through advanced brain analytics.
Industry
Software Development
Company size
51-200 employees
Founded
2019
Headquarters
Boston, MA
LinkedIn followers
14,721
Beacon's AI platform for brain data enables and accelerates new treatments that transform the lives of patients with neurological and psychiatric disease. Through FDA-cleared EEG wearables, novel machine learning algorithms, enormous datasets, and advances in software engineering, we are changing the way patients are treated for disorders of the brain.
Want to join the team? We’re hiring—check out the careers page on our website for more.
Please be advised that Beacon Biosignals does not ask for personal information outside of our official hiring process. If a role is not listed on our careers page, it is not an active job opening. We will never ask candidates to send money to supplement company equipment, and all official emails from our team will come from the @beacon.bio domain, never text messages or Teams messages.
Offices: Boston, MA 02114, US · New York, New York 10007, US · Paris, FR · Cleveland, OH, US
Health DiagnosticsHealth CareArtificial IntelligenceSoftwareMedical DeviceArtificial Intelligence (AI)Machine Learning
How many Healthcare jobs are open in Boston, MA right now?
There are currently 4,587 open healthcare positions in Boston, MA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Healthcare roles in Boston, MA?
Companies currently hiring include Mass General Brigham, BOSTON MEDICAL CENTER, BOSTON, Anna Jaques Hospital, CVS Health, Vertex Inc., among others. Browse the listings above to see every active employer.
Are there remote or hybrid Healthcare jobs in Boston, MA?
Yes — 1344 of the 4587 open healthcare positions offer remote or hybrid work (327 remote, 1017 hybrid).
How do I apply for Healthcare jobs in Boston, MA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.