- Redwood City, California, United States
- Internship · Intern
Internship focused on developing machine learning models and infrastructure for functional ultrasound imaging and neural decoding.
Responsibilities
- Design, implement, train, and evaluate models for fUSI reconstruction, signal preprocessing, or downstream decoding
- Run experiments, form and test hypotheses, design ablations, tune architectures, losses, and training schedules
- Extend models to new data regimes and build necessary preprocessing
- Contribute to training and evaluation infrastructure including experiment tracking, metrics, and regression checks
- Debug numerical and performance problems such as NaNs, shape bugs, and GPU memory ceilings
Requirements
- PhD in machine learning, computer science, electrical engineering, computational neuroscience, physics, or a related field
- Nice to have: neural operators (FNO)
- Nice to have: implicit neural representations
- Nice to have: physics-informed machine learning architectures
- Nice to have: neural decoding