About the role

Role Overview

Join the Intelligent Manufacturing Systems team as an Applied AI Engineering Intern. You will design and implement AI-powered solutions to improve manufacturing workflows, yield, and operational throughput. This is a hands-on internship working with production data, ML model development, deployment, and real-world validation.

Key Missions

Build AI-powered solutions to improve manufacturing workflows, yield, and throughput.
Collaborate cross-functionally to develop and deploy machine learning models using production data.
Prototype intelligent document workflows.
Benchmark multiple LLM backends for production deployment.
Validate model predictions using real-world data.

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 such as PyTorch, TensorFlow, or scikit-learn.
Experience with data analysis and visualization (e.g., Pandas, NumPy, Matplotlib).
Familiarity with at least one of:
- Time-series analysis
- Anomaly detection
- Optimization
- Computer vision
Exposure to statistical process control (SPC) or Six Sigma concepts.
Experience with LLMs/generative AI for structured data or knowledge extraction.
Familiarity with Git and Linux-based development workflows.

Nice to Have

Exposure to manufacturing, semiconductor, or hardware environments.
Prior internship/project experience in manufacturing analytics, digital twins, or process optimization.

Internship Details

Duration: 12 weeks
Timing: Summer 2026
Location: Full remote
Benefits: equity, healthcare, flexible time-off, and more

About d-Matrix

d-Matrix is a technology company focused on Intelligent Manufacturing Systems, helping teams improve manufacturing outcomes through AI and data-driven solutions. The role emphasizes applying machine learning and AI to real production data to enhance workflows, yield, and operational throughput.

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