AI/Machine Learning Engineering Intern
Core
Build and integrate machine learning systems that turn inspection data from wall-climbing robots into real-time decisions for critical infrastructure health.
Role type
AI/ML Engineering Intern
Builds
Production ML models and data pipelines for NDT sensor data and operational records
Domain
Industrial infrastructure inspection, robotics, non-destructive testing (NDT)
Deliverable
production ML models
Required skills
Python, machine learning model training/evaluation, linear algebra, probability, statistics, Git, data pipeline construction
Preferred skills
LLM APIs, signal processing, time-series data, cloud infrastructure (GCP), Docker
Technologies
Python, PyTorch, NumPy, pandas, SQL, LLM APIs, Git, Linux, GCP, Airflow
Responsibilities
Own scoped ML projects from framing to integration, build data pipelines for sensor data, train and evaluate models, integrate models into services, investigate failure modes on real-world data, present project results
Seniority
Intern