Algorithm Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $150k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.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 full 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 deep learning or other methods are most effective • Enhance internal deep learning and machine learning tools to improve team efficiency • Introduce model architectures and algorithmic techniques and refine the codebase for reusability and rapid experimentation • Improve best practices for user-friendly, documented, and thoroughly tested algorithm implementations • Present results to key stakeholders and assist with algorithm use for client engagement • Support client-facing projects and assess the impact of existing and future algorithms for customers • Collaborate with data scientists, neuroscientists, engineers, and clinicians to build, deploy, and maintain 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 with PyTorch or other deep learning frameworks • Familiarity with 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 to learn the domain • Ability to present complex technical topics appropriately to internal and external audiences • Ability and willingness to participate in the full algorithm development lifecycle, including formal validation, quality/regulatory documentation, production deployment, and client collaboration

🏖️ Benefits

• Equity • PTO • Remote work experience supported by asynchronous work practices