Intern, AI for Control

Rocketwell AutomationAustin, TX
9d$22 - $40Hybrid

About The Position

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better. We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us! Job Description The AI Center of Excellence (COE) at Rockwell Automation is seeking a self-driven Intern to contribute to the development of learning-enabled control solutions for complex, nonlinear dynamical systems . You will work closely with AI COE researchers and engineers on applying deep learning and modern control techniques to real-world industrial systems. This internship offers hands-on exposure to state-of-the-art AI for control , bridging theory and deployment in industrial environments.

Requirements

  • Currently pursuing a bachelors or advanced degree from an accredited college or university.

Nice To Haves

  • Strong foundation in control theory and system identification (e.g., Koopman-based methods, MPC)
  • Solid understanding of machine learning and deep learning
  • Proficiency in Python
  • Experience with ML/DL frameworks (e.g., PyTorch, TensorFlow, Keras )
  • Strong analytical, problem-solving, and communication skills
  • Exposure to MLOps concepts and tools
  • Familiarity with containerization (Docker, Kubernetes)
  • Front-end or visualization experience (e.g., React, Angular, Vue) is a plus

Responsibilities

  • Develop and evaluate AI-driven control and system identification methods for nonlinear dynamical systems
  • Apply learning techniques to improve control performance and robustness
  • Collaborate with researchers and engineers on prototyping, experimentation, and analysis
  • Document and communicate technical findings clearly

Benefits

  • Health Insurance including Medical, Dental and Vision
  • 401k
  • Paid Holidays off
  • Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service