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Algorithm Engineer

1 month ago
France
Full-time
Senior
Machine Learning Engineer
Software Development
CI/CD Deep Learning Docker Git Machine Learning PyTorch Statistics
Apply Now
Beacon Biosignals

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 13

Description

  • Participate in and lead the full biosignal-based algorithm development lifecycle for medical devices, from scoping and requirements gathering through production maintenance and documentation.
  • Curate and label data to support algorithm development and validation.
  • Select and implement the most appropriate modeling approach for each problem, including deep learning and non-deep-learning methods when appropriate.
  • Develop, enhance, and maintain internal machine learning and deep learning tools to improve team efficiency and experimentation speed.
  • Introduce new model architectures and algorithmic techniques and improve code reuse across the codebase.
  • Establish and improve engineering best practices, including testing, documentation, CI, and non-regression testing.
  • Present results to key stakeholders and help them use algorithms for client engagement.
  • Support client-facing projects and help shape the impact of Beacon’s algorithms for existing and future use cases.
  • Work across development, failure analysis, production deployment, maintenance, and quality/regulatory documentation.

Requirements

  • More than 4 years of industry experience in machine learning and deep learning.
  • Experience bringing algorithms into production, preferably in health sciences or other regulated fields.
  • Experience with digital signal processing (DSP) and statistics.
  • Proficiency with PyTorch or another deep learning framework for training, developing, and deploying models.
  • Familiarity with recent deep learning advances such as Transformers, ViTs, large-scale modeling, and large 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 strong interest in learning the domain.
  • Ability to distill and present complex technical topics clearly to both technical and non-technical audiences.
  • Comfort working across the full algorithm development lifecycle, including data wrangling, formal validation, and regulatory-quality documentation.

Benefits

  • Remote-first work with robust asynchronous work practices.
  • In-person office hubs in Boston, New York City, and Paris.
  • Base salary determined by past experience, specific skills, and qualifications.
  • Equity as part of the total compensation package.
  • PTO as part of the total compensation package.
  • Other benefits included in the total compensation package.

Interested in this position?

Apply directly on the company website

Apply Now

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