Applied AI Engineering Intern

Design and implement AI-powered solutions to improve manufacturing workflows.

• •As an Applied AI Engineering Intern on the Intelligent Manufacturing Systems team, you will design and implement AI-powered solutions that directly improve manufacturing workflows, yield, and operational throughput.
• •Key Responsibilities Build AI agents that diagnose why hardware tests fail.
• •Design LLM-powered pipelines that ingest unstructured supplier and factory reports.
• •Prototype intelligent document workflows that reconcile financial and procurement records.
• •Benchmark multiple LLM backends for production deployment.
• •Collaborate with engineers to validate model performance.
• •Requirements Pursuing a Master's or PhD in Computer Science, Electrical Engineering, Industrial Engineering, or a related field.
• •Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, or scikit-learn).
• •Experience with data analysis and visualization (Pandas, NumPy, Matplotlib).
• •Familiarity with time-series analysis, anomaly detection, optimization, or computer vision.