Precision Neuroscience is developing a brain-computer interface (BCI) to restore communication and independence for people with neurological conditions, enabling them to control digital devices with their thoughts.
Requirements
- Machine Learning & Deep Learning (RNNs, LSTMs, CNNs, compression & optimization for real-time inference)
- Signal Processing & Decoding (Spike sorting, LFP, EcoG feature extraction, Denoising, filtering, spectral analysis, ICA/PCA)
- Experience with neural data, specifically, is a bonus
- Real-Time Systems & Infrastructure (Low-latency inference pipelines for neural decoding, Edge deployment and streaming architecture experience)
- Python (PyTorch, Tensorflow, NumPy, scikit-learn)
- Kubeflow, MLFlow, Airflow
- Containerization (Dockers and Kubernetes)
Responsibilities
- Bring cross-disciplinary expertise to the intersection of machine learning, signal processing, neuroscience, and biomedical engineering.
- Work on complex technical challenges at the intersection of neuroscience and computing, from real-time neural signal processing to intuitive user interfaces that help patients regain their independence.
- Develop and validate our technology.
- Initiate human trials in collaboration with some of the nation’s top hospitals.
- Build real-time, robust ML systems that interpret high-dimensional neural data.
- Design experimental protocols to gather training data.
- Collaborate with software engineers to implement these protocols.
Other
- Deep passion for neurotechnology and human-centered AI.
- Thrive in fast-paced, collaborative environments.
- Track record of translating research into working systems that impact lives.
- Familiar with FDA, HIPPA regulatory and performance constraints for deployable neurotech or medical devices.
- Contributed to cross-functional product development, working closely with software, hardware, clinical, and UX teams.
