Algorithm Engineer

🕒 September 15

🇺🇸 United States – Remote

💵 $150k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 21%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Beacon Biosignals

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Beacon Biosignals is a company focused on powering precision medicine for the brain. Their EEG neurobiomarker platform is engineered to accelerate clinical trials and enable new treatments for patients with neurological and psychiatric diseases. The platform captures a rich array of the brain's activity in real time and utilizes machine learning to analyze EEG data for treatment efficacy, dose selection, and population stratification. Beacon Biosignals partners with biopharma companies, academic medical centers, and neurotechnology developers to improve the diagnosis and treatment of neurological and psychiatric diseases.

📋 Description

• 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 or 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 • Improve best practices for user-friendly, well-documented, thoroughly tested algorithm implementations, including unit tests, CI, and non-regression testing • Present results to key stakeholders and assist with algorithm use for client engagement • Support client-facing projects and help shape the impact of algorithms for customers • Collaborate with data scientists, neuroscientists, engineers, and clinicians to scope, build, deploy, and maintain machine and deep learning models analyzing brain and biosignal data

🎯 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 using PyTorch or other deep learning frameworks • Familiarity with recent 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 more in the domain • Ability to distill, discuss, and present complex technical topics appropriately for internal and external audiences • Excitement to participate in the entire algorithm development lifecycle, including scoping, data wrangling, experimentation, formal validation, quality/regulatory documentation, production deployment, and client collaboration • Collaboration, open communication, and continuous feedback are essential for collective success

🏖️ Benefits

• Equity • PTO • Asynchronous remote work practices • In-person office hubs in Boston, New York City, and Paris

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