Hybrid Live and work in NYC or California: open call for Aussie Machine Learning Engineers and Scientists interested in working with BCI bei Precision Neuroscience
Precision Neuroscience · New York City, Vereinigte Staaten Von Amerika · Hybrid
- Professional
- Optionales Büro in New York City
Precision Neuroscience is pioneering a brain implant, known as a brain-computer interface (BCI), to restore communication and independence for people with neurological conditions. Our cutting-edge technology is designed to empower people with paralysis to control digital devices—such as computers and smartphones—with their thoughts alone, opening new possibilities for daily life.
Precision’s multidisciplinary team brings together leading experts in diverse fields such as neurosurgery, artificial intelligence, machine learning, microfabrication, electrical engineering, and more. We are committed to turning breakthrough scientific advancements into real-world solutions for people affected by conditions such as spinal cord injury, stroke, and ALS.
As a Precision employee, you will be joining one of the fastest-moving and best-capitalized companies in the emerging field of BCI. Since our founding in 2021, Precision has secured over $155 million in funding, developed and validated our technology, and initiated human trials in collaboration with some of the nation’s top hospitals.
We are seeking motivated and technically rigorous Machine Learning Engineers and Scientists to work in our NYC or Santa Clara (California) offices with a deep passion for neurotechnology and human-centered AI. Experienced in building real-time, robust ML systems that interpret high-dimensional neural data.
In this role you will bring cross-disciplinary expertise to the intersection of machine learning, signal processing, neuroscience, and biomedical engineering. We are looking for people who thrive in fast-paced, collaborative environments, with a track record of translating research into working systems that impact lives. This is an exciting opportunity to 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.
In this role you will bring cross-disciplinary expertise to the intersection of machine learning, signal processing, neuroscience, and biomedical engineering. We are looking for people who thrive in fast-paced, collaborative environments, with a track record of translating research into working systems that impact lives. This is an exciting opportunity to 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.
Machine Learning positions are based in our Manhattan or Santa Clara (California) offices. Precision Neuroscience supports sponsorship of the E3 visa (available to Australian citizens).
Preferred Technical Skills
- 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
- Programming & Tools
- Python (PyTorch, Tensorflow, NumPy, scikit-learn)
- Kubeflow, MLFlow, Airflow
- Containerization (Dockers and Kubernetes)
- AI/Robotics (OpenCV, ROS2, Kaldi)
- AWS (Sagemaker Studio, Kinesis, S3, EC2, Lambda, Cloudwatch, EMR, Elastic)
Preferred Experience
- A track record developing novel algorithms evidenced by a strong publication record in major AI conferences (e.g. NeurIPS, ICML, CVPR etc.) and ideally granted patents.
- Hands-on experience developing realtime machine learning algorithms leveraging high volume data, ideally image, video and/or audio data in the context of embedded real time systems.
- Experiment Design: design experimental protocols to gather training data. Collaborate with software engineers to implement these protocols. Collaborate closely with the clinical team to execute these protocols.
- Proven experience shipping ML-powered products in production, especially in high-stakes or real-time environments
- Delivered end-to-end systems — from signal acquisition to live neural decoding — in clinical or research settings
- Built robust, testable, and maintainable ML pipelines that integrate with hardware, firmware, and front-end interfaces
- Contributed to cross-functional product development, working closely with software, hardware, clinical, and UX teams
- Familiar with FDA, HIPPA regulatory and performance constraints for deployable neurotech or medical devices
Diverse workforces create the best culture, company, and products. We at Precision are committed to an inclusive culture that celebrates the uniqueness and contributions of everyone. As an equal opportunity employer, Precision does not discriminate on the basis of sex, race, religion, national origin, disability status, protected veteran status, or any other characteristic protected by law.
