Senior Algorithm Engineer
Beacon Biosignals12 days ago
Remote, France or Paris, FranceSenior
Responsibilities
- Lead and participate in the complete biosignal algorithm development lifecycle, from requirements gathering and data labeling through development, validation, production, maintenance, and documentation.
- Select and implement appropriate machine learning, deep learning, signal-processing, and statistical methods for each problem.
- Improve internal machine learning and deep learning tools, model architectures, algorithmic techniques, and reusable code to support rapid experimentation.
- Promote well-documented, user-friendly, and thoroughly tested algorithm implementations, including unit tests, CI, and non-regression testing.
- Present algorithm results to stakeholders and help them use the algorithms for client engagement.
- Support client-facing projects and assess the impact of deployed and future 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, with a record of bringing algorithms into production.
- Experience with digital signal processing and statistics, including selecting non-machine-learning methods when appropriate.
- Proficiency with PyTorch or other deep learning frameworks for training, developing, and deploying models.
- Familiarity with modern deep learning advances such as Transformers, Vision Transformers, large-scale modeling, and large model training.
- Knowledge of software and ML engineering 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 collaborate effectively and present complex technical topics to internal and external audiences.
- Willingness to participate in algorithm scoping, data wrangling, experimentation, formal validation, quality and regulatory documentation, production deployment, and customer collaboration.
Benefits
- Primarily remote work for individuals based near Paris, with in-person office hubs in Boston, New York City, and Paris.
- Total compensation includes equity, paid time off, and other benefits.
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