R&D Intern: Sensor Data & ML Pipelines (Biomedical)

Delsys

Natick (MA)

On-site

USD 27,552 - 41,328

Full time

14 days+
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Job summary

A leading firm in biosignal sensing technology is seeking R&D Interns with a focus on neural processing systems. As part of this role, candidates will work on developing data pipelines for EMG and motion capture data. Successful candidates will be fluent in multiple programming languages including Python and C++, possess a strong background in signal processing, and be currently enrolled in or have completed a relevant degree. Join a collaborative team developing innovative solutions for human health and movement science.

Qualifications

  • Candidates must be fluent in Python, C, C++, and C#.
  • Knowledge of signal processing is necessary.
  • Experience with time series signals is required.
  • Enrollment in a relevant engineering or computer science degree is mandatory.
  • Candidates must provide valid work eligibility.

Responsibilities

  • Design and implement machine learning and computer vision pipelines.
  • Translate research algorithms into commercial products.
  • Collaborate to deliver sound and vetted software.
  • Develop and deploy distributed microservices for real-time applications.

Skills

Fluent in Python
Fluent in C
Fluent in C++
Fluent in C#
Working knowledge of signal processing
Experience working with time series signals

Education

Undergraduate or graduate degree in biomedical engineering, computer engineering, computer science, data science, or similar

Job description

A leading firm in biosignal sensing technology is seeking R&D Interns with a focus on neural processing systems. As part of this role, candidates will work on developing data pipelines for EMG and motion capture data. Successful candidates will be fluent in multiple programming languages including Python and C++, possess a strong background in signal processing, and be currently enrolled in or have completed a relevant degree. Join a collaborative team developing innovative solutions for human health and movement science.
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