Sensor Data & ML Engineer Intern

Mide Technology

Woburn (MA)

On-site

USD 28,000 - 41,000

Full time

7 hours ago
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Job summary

Midé is seeking a Software Engineering Intern/Co-op in Woburn, MA to work on sensor data analysis, visualization, and AI-driven engineering tools. You will develop software to test and process real sensor outputs and collaborate with electrical, software, and mechanical teams.

Preferred candidates have strong Python experience with NumPy/SciPy/Pandas, knowledge of signal processing, ML libraries, and data visualization. Familiarity with Linux and cloud platforms is a plus.

Qualifications

  • Experience in Python with NumPy, SciPy and Pandas.
  • Familiarity with signal processing and time-series analysis.
  • Knowledge of ML libraries such as Scikit-learn, PyTorch, or TensorFlow.
  • Experience with data visualization using Matplotlib, Plotly, Dash, or Streamlit.
  • Experience with Linux (Debian) and cloud platforms (AWS or Azure).
  • Interest in applying AI tools and LLMs to software development.

Responsibilities

  • Develop software tools to test, process, analyze, and visualize sensor output.
  • Analyze acceleration time-series data with visualization, preprocessing, and feature extraction.
  • Perform FFT, PSD, filtering, and time-frequency analysis.
  • Develop ML models for time-series classification and anomaly detection.
  • Collaborate with multidisciplinary engineering teams across electrical, software, and mechanical domains.

Skills

Python programming
Time-series analysis

Education

Bachelor’s degree or in progress in Software Engineering or related

Tools

Python
NumPy
SciPy
Pandas
Matplotlib
Plotly
Dash
Streamlit
Linux (Debian)
Django
AWS
Azure
PyTorch
TensorFlow

Job description

Midé is seeking a Software Engineering Intern/Co-op in Woburn, MA to work on sensor data analysis, visualization, and AI-driven engineering tools. You will develop software to test and process real sensor outputs and collaborate with electrical, software, and mechanical teams.

Preferred candidates have strong Python experience with NumPy/SciPy/Pandas, knowledge of signal processing, ML libraries, and data visualization. Familiarity with Linux and cloud platforms is a plus.

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