DSP/ML Research Engineer Co-op | Spring 2027
Core
Research and implement multimodal fusion methods and DSP/ML algorithms for room environmental sensing using sensor data.
Role type
Machine Learning/DSP Research Engineer Co-op
Builds
Next generation audio product experiences and environmental sensing applications
Domain
Audio technology, environmental sensing, machine learning
Deliverable
production ML models
Required skills
Python, MATLAB, TensorFlow, PyTorch, signal processing, deep learning neural networks, real-time processing, acoustic modeling
Preferred skills
Embedded DSP, C/C++, bash scripting, music or acoustic experience
Technologies
TensorFlow, PyTorch, Python, MATLAB
Responsibilities
Research and evaluate multimodal fusion methods of sensors; Develop and evaluate DSP and ML algorithms for room sensing; Collect data using microphones, IMUs, and light-based systems; Develop ML models, training data, and evaluation infrastructure; Implement real-time demoable experiences on prototyping platforms
Seniority
Co-op (Undergraduate/Graduate Student)
