Staff Applied Machine Learning Scientist

📋 Description

• Design advanced algorithms that combine signal processing, physiological modeling, machine
• Own the development and continuous improvement of production-ready edge algorithms that transform
• Analyze large-scale wearable sensor datasets to identify performance gaps, characterize challenging
• Define rigorous evaluation methodologies, validation frameworks, and performance metrics to assess
• Optimize algorithms for embedded deployment, balancing accuracy with power, memory, latency, and
• Set technical direction and establish best practices for modeling, experimentation, validation, and

🎯 Requirements

• MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Machine Learning
• 7+ years of experience developing and deploying machine learning, deep learning, and/or signal
• Deep technical expertise in modern machine learning and deep learning methods, particularly for
• Strong foundation in digital and statistical signal processing, with the ability to combine
• Strong proficiency in Python for algorithm development, experimentation, and large-scale data
• Demonstrated ability to develop robust models using large, noisy, real-world datasets and achieve

🎁 Benefits

• Equity