Python Programming, SQL, Git, NumPy, Pandas, SciPy, Docker, Google Cloud Platform (GCP), Tornado, Asyncio, PyQt
Pison is creating the next generation of neural interfaces that focus on gesture recognition and neurophysiological insights. Pison leverages our patented electroneurography (ENG) platform to translate data generated from our body’s natural physiological electricity stemming at the brain into machine interpretable events in software. This allows for never before seen intuitive control of any experience in the IoT universe and discovery of neurological correlations drawn from our proprietary AI and data sets. Pison’s government, Department of Defense and Fortune 100 customers have a deep pipeline of pending projects fueling our growth. Pison’s long term vision is to own the platform which translates human intention to machine-readable code.
We are looking for an experienced Machine Learning Engineer to join our growing team and bring their knowledge and expertise to the team. You will work side by side with the Algorithm and Research teams to develop robust, production-level Machine Learning codes and libraries for R&D efforts. We are looking for a seasoned engineer who can build and contribute to our growth and success.
***Due to the nature of our work with the United States government, candidates must be US citizens.***
This position is located in our Boston, MA office. For the safety of our employees, we are currently working remotely and will return to the office in a hybrid fashion in September.
The Role:
About You:
Bonus:
We understand that candidates can feel discouraged if they do not tick every box. We encourage you to apply. Pison is building a diverse team with people from all backgrounds who can help us build an inclusive organization.
Pison is collecting and classifying data from the most valuable source in the world, the human body. Pison's platform leverages our patented electroneurography (ENG) platform to translate data generated from our body’s natural physiological electricity stemming at the brain into machine interpretable events in software. This allows for never before seen intuitive control of any experience in the IoT universe and discovery of neurological correlat