Description

You will develop machine learning models and automated pipelines for sensor evaluation.

This role is on-site.

Responsibilities

• Develop and implement protocols and pipelines for automated sensor evaluation.
• Process and analyze sensor signals for SOP sensor performance evaluation.
• Build GUIs and tools for sensor data visualization and exploration.
• Implement machine learning models for wearable sensor signals.

Required Skills

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Math, Sensing & Control, Robotics, or a related field.
• 3+ years of experience with sensor data modeling, analysis, and visualization.
• 3+ years of experience coding with Python and software engineering best practices, including version control and code reviews.
• Experience implementing, debugging, and fine-tuning machine learning models.
• Experience developing GUIs and data visualization tools using QT, HTML5 (Plotly, Chart.js, D3.js), or similar toolkits.
• Solid understanding of digital signal processing (DSP) and sensor characterization.
• Proficiency in C or C++.
• Proficiency in HTML5.

Preferred Skills

• Master’s degree and 1+ years of industry experience.
• Experience bringing up and debugging prototype software-hardware systems, such as wearable sensing or multi-camera tracking solutions like OptiTrack.
• Experience with sensor fusion, human-computer interaction (HCI), or human-machine collaboration.

Key Skills

Education

Any Graduate