Pison is developing breakthrough consumer and healthcare products that are harnessing the power of the mind. We’ve pioneered the science of electroneurography (ENG) to non-invasively sense, analyze, and apply electrical signals coming from the brain. Our neural biosensor and artificial intelligence software are opening a new window to thousands of new, neural-based applications that can improve human health and wellness and help individuals control their environment via gesture recognition. Our vision is to deliver real-time, actionable insights into the state of the body’s nervous system, guiding users to better health and higher achievement in every domain of human endeavor.

Job Summary:

As a member of the Algorithms and Machine Learning team at Pison Technology, the Data Scientist will support machine learning research and development through data collection, signal processing, data mining/analysis, and model research. Additionally, the Data Scientist will work with machine learning engineers in Pison’s production inference pipeline development, deployment, and optimization. The Data Scientist will not only use data used to train/tune models and and perform benchmarking tests on these models to predict real-time performance, but will also have the opportunities to participate in data collection experiments.

This position is located in our Boston, MA office. This position would be expected to be onsite at least 3 times per week. 

Duties/Responsibilities:

Research for state-of-the-art neurological insights prediction and gesture classification algorithms using IMU and biopotential sensor data with conventional ML and deep learning AI techniques

Develop code and tools in Python to test and characterize performance and limitations of different neurological insights prediction and gesture classification models

Perform data mining and data characterization to generate metrics and methods for evaluating performance of the real-time neurological insights prediction and gesture inference pipeline of the Pison gesture platform.

Collaborate with research, cloud, firmware, and software teams to progress research and aid model deployment

Help processing and cleanup of collected sensor data taken with Pison gesture platforms

Contribute to code reviews and mentoring of junior level team members

Skills/Abilities:

BS in CS or a related quantitative field. A master or Ph.D. is highly preferred

5 years of industrial experience (relevant research experience for master/Ph.D. may be counted as industrial experience)

Deep understanding and experience with ML/AI, deep learning algorithms and development (CNN, TCN, RNN, GAN, Transformer, Transfer Learning, Contrastive Learning, Novelty Detection, etc.)

Advanced knowledge of math, statistics, multivariate analysis, statistical tests

Advanced Python coding skills

Experience with one or more machine learning frameworks such as TensorFlow and/or PyTorch

Understanding of numerical implementations

Understanding of cloud computing

Knowledge of data querying

knowledge of EMG, EEG, ECG, IMU, CV algorithms

Experience with C

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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.