ML/Algo Data Science Intern

Sorry, this job was removed at 04:19 p.m. (CST) on Thursday, Jun 05, 2025
Boston, MA
In-Office
Software
The Role
As an intern on the Machine Learning team at Pison Technology, you will support machine learning research and development through tasks such as data collection, basic signal processing, and data exploration. You will have the opportunity to learn about and contribute to the development and evaluation of machine learning models. This role will also involve working alongside machine learning engineers to gain exposure to the production inference pipeline. You will help gather data for training and testing models and may have the chance to participate in experiments.

Duties/Responsibilities:

  • Assist in the collection and organization of sensor data from Pison gesture platforms.
  • Support the processing and cleaning of collected sensor data.
  • Learn and apply basic Python skills to explore and analyze data.
  • Help test and characterize the performance of different gesture classification models under guidance.
  • Contribute to the generation of basic metrics for evaluating the performance of the gesture inference pipeline.
  • Collaborate with research team members on specific tasks and projects.
  • Document your work and findings clearly.

Required Education, Skills/Abilities and Experience:

  • Currently pursuing a BS in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field.
  • Strong interest in machine learning, Robotics and artificial intelligence.
  • A foundational knowledge of programming in Python.
  • A basic understanding of mathematical concepts and statistics.
  • Good communication and teamwork skills.
  • Ability to learn quickly and follow instructions.

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The Company
Boston, MA
60 Employees
Year Founded: 2016

What We Do

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 correlations drawn from our proprietary AI and data sets. Investors and partners include First Round DRF, Oculus, MIT, Draper, HHS, National Science Foundation, Bose Ventures, and In-Q-Tel.

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