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Intern, LLMs for Manufacturing Operation

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Rockwell Automation


1mo ago

🚀 Off-cycle Internship


⌛ Closed
Applications are closed

Off-cycle Internship

Software Engineering, Engineering•Austin


  • We are seeking a motivated and enthusiastic intern to join our team and assist in customizing large language models to serve as copilots for operators in manufacturing operations. As an intern, you will have the opportunity to work closely with our experienced team of AI experts and developers to develop and deploy innovative solutions that prioritize reliability and safety.


  • Basic Qualifications:
  • Must be pursuing a bachelor’s or advanced degree from an accredited college or university.
  • Minimum cumulative GPA of 2.75
  • Legal authorization to work in the US is required. We will not sponsor individuals for employment visas, now or in the future.
  • Preferred Qualifications:
  • Currently enrolled at in a Bachelor's or Master's degree program in Computer Science, Engineering, or a related field.
  • Strong programming skills, particularly in Python, and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
  • Solid understanding of natural language processing (NLP) concepts and techniques.
  • Ability to work collaboratively in a fast-paced team environment.
  • Excellent problem-solving skills and attention to detail.
  • Prior experience or coursework in AI, machine learning, or NLP is a plus.

Area of Responsibilities

Software Engineering


  • Collaborate with the AI engineering team to understand the specific requirements and challenges of manufacturing operations. Customize large language models to understand and interpret complex manufacturing data and processes. Develop algorithms and models to enable language models to assist operators in real-time decision-making and problem-solving.
  • Conduct testing and validation to ensure the reliability, accuracy, and safety of customized language models. Assist in integrating customized language models into existing manufacturing systems and interfaces. Document the customization process, methodologies, and outcomes for future reference and improvement.


Work type

Full time

Work mode





  • Hands-on experience working with cutting-edge AI technologies in a real-world industrial environment.
  • Opportunity to learn from experienced professionals in the field of artificial intelligence and machine learning.
  • Valuable insights into the application of AI in manufacturing operations, with a focus on reliability and safety.
  • Flexible work schedule and the possibility of remote work arrangements.
  • Potential for future career opportunities within the company based on performance and skills development.