Nocturnal Inc. Signal Processing & Machine Learning Engineer Cambridge, MA · Full time Company website

Apply for Signal Processing & Machine Learning Engineer

Responsibilities:

• Develop and implement algorithms for sleep staging using biosensor data
• Implement sensor fusion algorithms for integrating multi-modal data
• Design and optimize pipelines for extracting features from physiological signals
• Create models for analyzing and predicting sleep patterns
• Develop real-time systems for optimizing sleep
• Design and validate control systems for intervening in sleep patterns
• Maintain documentation for algorithms and models
• Collaborate with hardware and software teams on product development

Requirements:

• Master's or PhD in relevant field such as ML, Signal Processing, or Biomedical Engineering
• Solid understanding of signal processing and time series analysis
• Experience with processing biomedical signals like EEG and PPG
• Proficiency in Python and ML frameworks like PyTorch and TensorFlow
• Experience with deep learning architectures like RNN and LSTM
• Knowledge of biosignal analysis including HR/HRV and sleep staging
• Strong mathematical background in modeling and control systems

Preferred Skills:

• At least 4 years of experience in biosignal processing or sleep research
• Experience in developing product with real-time signal processing systems
• Knowledge of Edge Computing and Embedded ML deployment (TinyML)
• Background in Closed-loop control systems
• Published work in relevant fields such as Biosignal processing and Sleep Science

Salary and Benefits:

• Competitive salary
• Opportunities for professional development and networking in wearable technology and research
• Chance to work on cutting-edge technology in the rapidly growing sleep tech market
• Potential for significant impact in a high-growth startup environment
• Collaboration with world experts in sleep, neuroscience, AI, and wearables
• Visa application support for international candidates