Rail AI Research Internship — Edge ML & Data Fusion

Mt. Washington Pediatric Hospital; Baxter (CO); On-site; USD 23,000 - 32,000; Full time

Benefits offered by this job

Railroad Retirement

401(k) Program with Company Match

Fortnight Schedule

Paid Holidays

Job summary

The MxV Rail internship supports the AAR SRI inspection program, focusing on rail and wheel inspection projects. You will work on data preprocessing, feature extraction, and model development for defect detection.

Responsibilities include applying ML models (CNNs/RNNs/Transformers) to time-series sensor data, deploying edge-optimized code, and validating results with POD studies while ensuring safety adherence.

Qualifications

• MS/PhD candidates in engineering or CS/data science.
• Background in NDT/NDE is preferred.
• Strong coding and AI/ML experience.

Responsibilities

• Preprocess large inspection datasets.
• Develop data fusion algorithms.
• Train ML models using PyTorch or TensorFlow.
• Deploy models to edge devices.
• Validate outputs with POD studies.
• Ensure safety in all duties.
• Perform other duties as assigned.

Skills

Python

C/C++

AI/ML

Signal processing

Data science

Education

MS/PhD in Engineering or CS/Data Science

Tools

PyTorch

TensorFlow

Scikit-Learn

NVIDIA Jetson

Raspberry Pi

Job description

The MxV Rail internship supports the AAR SRI inspection program, focusing on rail and wheel inspection projects. You will work on data preprocessing, feature extraction, and model development for defect detection.

Responsibilities include applying ML models (CNNs/RNNs/Transformers) to time-series sensor data, deploying edge-optimized code, and validating results with POD studies while ensuring safety adherence.