Senior Algorithm Engineer

Job Summary

To advance the development of innovative therapies, the fully remote Senior Algorithm Engineer will lead the biosignal-based algorithm development lifecycle, focusing on the implementation of machine and deep learning models for analyzing brain and biosignal data.

Key responsibilities

• Lead the entire biosignal-based algorithm development lifecycle, including data curation, development, and documentation
• Select and implement appropriate methods for various problems, applying deep learning techniques when suitable
• Enhance internal deep learning tools and spread best practices to ensure user-friendly and well-documented algorithm implementations

Required qualifications

• Over 5 years of industry experience in machine learning and deep learning, preferably in health sciences
• Proficiency in digital signal processing (DSP) and statistics, with experience in PyTorch or similar frameworks
• Familiarity with advanced deep learning techniques and best practices in software and ML engineering
• Experience with biosignals, medical imaging data, or large time-series datasets
• Strong collaboration skills and the ability to present complex technical topics to diverse audiences