Neurobehavioral data lab building brain-emulation foundation models.

Founder and CEO

Senior Machine Learning Engineer (Foundation Models)

Netholabs is building a foundation model of the brain and behavior across species using large-scale multimodal neural and behavioral data. The Senior Machine Learning Engineer will design and train core generative models, develop representations across neural signals and behavior, lead scalable training and evaluation, and contribute to research and production-quality modeling systems.

Machine Learning Engineer

Junior AI/ML Engineer

Netholabs is building AI grounded in biological intelligence by recording neurobehavioural data and using it to train neural foundation models. The Junior AI/ML Engineer will support model training, data pipelines, applied machine learning, robotics, and embodied AI research and engineering projects.

Human Data Collection Associate

Netholabs is building a foundation model of the brain and behaviour across species. The Human Data Collection Associate runs recording sessions, prepares and calibrates equipment, verifies data quality, maintains accurate documentation, and supports participant coordination and day-to-day collection operations.

Human Data Collection Lead

Netholabs is a frontier neuroscience and AI research company working at the intersection of deep learning, ethology, and physical engineering. The Human Data Collection Lead will own the quality and integrity of multimodal human data collection by operating and calibrating recording systems, running sessions, ensuring data quality, and later building and managing participant pipelines and international collection sites.

Product Manager - Preclinical Device

Netholabs builds large-scale neural and behavioural recording platforms for generating data for brain models. The Product Manager will turn human motion-capture and neurophysiological recording prototypes into reproducible, manufacturable, remotely updatable products, owning the roadmap, hardware programme, manufacturing relationships, data-capture protocols, and quality and regulatory groundwork.