Senior Algorithm Engineer

🕒 August 8

🇫🇷 France – Remote

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 23%

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 the most appropriate method for each problem, including determining when to apply deep learning techniques versus other methods • Enhance internal deep learning and machine learning tools, introduce new model architectures and algorithmic techniques, and refine the codebase for reusability and rapid experimentation • Spread and improve best practices for user-friendly, well-documented, thoroughly tested algorithm implementations, 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 client-facing projects to understand and shape the impact of Beacon algorithms for customers and future algorithm development

🎯 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 for training, developing, and deploying deep learning models • Familiarity with current 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 the domain • Ability to discuss and present complex technical topics appropriately for internal and external audiences • Excitement to participate in the full algorithm development lifecycle, including scoping, data wrangling, experimentation, formal validation, quality/regulatory documentation, production deployment, and client collaboration

🏖️ Benefits

• Equity • PTO • Other benefits • Primarily remote work • Access to in-person office hubs in Boston, New York City and Paris