Algorithm Engineer

🔥 1 minute ago

🇫🇷 France – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 25%

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 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 deep learning or alternative 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 algorithm implementation best practices, including unit tests, documentation, 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 current and future Beacon algorithms for customers

🎯 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 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 • Familiarity with biosignals, medical imaging data, or large time-series datasets, or enthusiasm to learn more in the domain • Ability to distill, discuss, and present complex technical topics appropriately for internal and external audiences • Willingness to participate in the entire algorithm development lifecycle, including formal validation, quality/regulatory documentation, production deployment, and client work

🏖️ Benefits

• Equity • PTO • Other benefits • Remote work experience through asynchronous work practices • In-person office hubs in Boston, New York City and Paris