Python Engineer Intern - Sensor Analytics

Mide Technology; Mishawum (MA); In loco; USD 34.000 - 48.000; Part-time

Descrizione del lavoro

Mide Technology in Woburn, MA seeks a SWE Intern to develop software tools for analyzing sensor data, focusing on Python-based data processing, visualization, and ML methods. You will work with a multidisciplinary team on real-world engineering problems using acceleration time-series data.

Responsibilities include FFT/PSD analyses, feature extraction, and building ML models for anomaly detection and parameter estimation, with exposure to AI tooling and cloud platforms.

Competenze

• Strong programming skills in Python with data analytics focus.
• Experience with signal processing concepts and time-series analysis.
• Familiarity with ML frameworks like Scikit-learn, PyTorch, or TensorFlow.
• Experience with data visualization in Matplotlib, Plotly, or Dash.
• Experience with Linux environments (Debian).
• Knowledge of sensor data and hardware interfaces is a plus.
• GPA or academic record in relevant field.

Mansioni

• Work on software tools to test, process, analyze, and visualize sensor output.
• Perform time-domain and frequency-domain analysis (FFT, PSD) on acceleration data.
• Develop ML models for time-series classification and anomaly detection.
• Collaborate with multi-disciplinary engineering team to deploy solutions.
• Apply AI tools to accelerate data processing and development workflows.

Conoscenze

Python

NumPy

SciPy

Pandas

Time-series analysis

FFT

Machine learning

Scikit-learn

PyTorch

TensorFlow

Data visualization

Linux (Debian)

Django

AWS

Azure

Formazione

Pursuing Bachelor's in Software Engineering or related field

Strumenti

Django

AWS

Azure

Linux (Debian)

Descrizione del lavoro

Mide Technology in Woburn, MA seeks a SWE Intern to develop software tools for analyzing sensor data, focusing on Python-based data processing, visualization, and ML methods. You will work with a multidisciplinary team on real-world engineering problems using acceleration time-series data.

Responsibilities include FFT/PSD analyses, feature extraction, and building ML models for anomaly detection and parameter estimation, with exposure to AI tooling and cloud platforms.