Machine Learning Engineer

Prism is a new mobile enabled platform to bring the benefits of biofeedback to the masses.

Existing biofeedback solutions are costly and time consuming. Prism seeks to reinvent this category by developing low cost hardware to allow anyone to obtain biofeedback on their mobile device.

Through simple games and exercises, customers will develop skills to better control their sympathetic nervous system response- resulting in better focus, relaxation, and stress reduction.


About the Role:

Responsible for working closely with software and hardware engineering teams to drive real-time model implementations and new feature creation

  • Lead the team responsible for designing, developing and deploying large scale, big data-driven machine learning models that are integrated with key product features.
  • Use statistical and machine learning techniques to infer actionable insights from digitized electrophysiological data
  • Collaborate with director of hardware to improve model accuracy through novel data collection methodologies
  • Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation

Please click here to apply:

Leave a Reply

Your email address will not be published. Required fields are marked *