Senior Algorithm Engineer (Medtech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Algorithm Engineer (Medtech): Developing and deploying machine learning models for brain and biosignal data analysis with an accent on digital signal processing and deep learning techniques. Focus on building robust, production-grade algorithms for clinical applications in neurological and psychiatric therapy development.
Location: Remote (US) or hybrid in Boston, NYC, or Paris.
Company
is a leading at-home EEG platform revolutionizing precision medicine for the brain through clinical-grade analytics and AI.
What you will do
- Lead the full lifecycle of biosignal-based algorithm development for medical devices.
- Select and implement appropriate methods, balancing deep learning with traditional statistical or signal processing techniques.
- Enhance internal ML tools and model architectures to improve team efficiency and rapid experimentation.
- Ensure high-quality code standards through unit testing, documentation, and CI/CD practices.
- Present technical results to stakeholders and support client-facing projects.
- Collaborate with cross-functional teams of neuroscientists, clinicians, and engineers.
Requirements
- 5+ years of industry experience in machine learning and deep learning within regulated fields.
- Proficiency in PyTorch and modern deep learning architectures like Transformers.
- Strong background in digital signal processing (DSP) and time-series data analysis.
- Proven track record of bringing algorithms into production environments.
- Experience with software engineering best practices including Docker, CI/CD, and version control.
- Ability to communicate complex technical concepts to diverse internal and external audiences.
Culture & Benefits
- First-class remote work experience with optional office hubs.
- Opportunity to work on high-impact clinical and scientific projects.
- Comprehensive compensation package including equity and PTO.
- Collaborative, diverse team environment focused on empathy and scientific curiosity.
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