Beacon Biosignals

Beacon Biosignals uses AI and EEG to transform brain disorder treatment with neurobiomarker technology, accelerating clinical trials and enhancing precision neurology.

Biotechnology

Health Care

11-50 (45)

Founded 2019

$27M raised

17 open positions

Links

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Algorithm Engineer

1 day ago

France

Full-time

Senior

Machine Learning Engineer

Data Science and Analytics

CI/CD Deep Learning Docker Git Machine Learning PyTorch Statistics

Apply Now

Beacon Biosignals

Beacon Biosignals uses AI and EEG to transform brain disorder treatment with neurobiomarker technology, accelerating clinical trials and enhancing precision neurology.

Biotechnology

11-50

Founded 2019

$27M raised

View All Jobs 17

Description

Participate in and lead the full biosignal algorithm development lifecycle for medical devices, from requirements gathering through production and maintenance.
Select, implement, and adapt the most appropriate modeling approach for each problem, including deep learning when it is the best fit.
Enhance internal machine learning and deep learning tools to improve team efficiency and enable rapid experimentation.
Introduce new model architectures and algorithmic techniques while improving code reusability.
Apply best practices for testing, documentation, CI, and non-regression testing to algorithm implementations.
Present technical results to stakeholders and help them use algorithms for client engagement.
Support client-facing projects and help shape the impact of Beacon’s algorithms for customers.
Work with data scientists, neuroscientists, engineers, and clinicians on biosignal data analysis and model development.

Requirements

More than 4 years of industry experience in machine learning and deep learning, ideally in health sciences or other regulated fields.
Proven experience bringing algorithms into production.
Experience with digital signal processing (DSP) and statistics.
Proficiency with PyTorch preferred, or another deep learning framework.
Familiarity with recent deep learning advances such as Transformers, ViTs, and large-scale model training.
Experience with software and ML engineering best practices, including testing, version control, code reviews, documentation, Docker, CI/CD, and experiment tracking.
Familiarity with biosignals, medical imaging data, or large time-series datasets, or enthusiasm to learn the domain.
Ability to communicate complex technical topics clearly to different audiences.
Interest in participating in the full algorithm development lifecycle, including validation, regulatory documentation, deployment, and client collaboration.

Benefits

Base salary determined by past experience, specific skills, and qualifications.
Total compensation includes equity.
Total compensation includes PTO.
Remote-first work experience with strong asynchronous work practices.
In-person office hubs in Boston, New York City, and Paris.

Interested in this position?

Apply directly on the company website

Apply Now

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