Intern, LLMs for Manufacturing Operation

2 weeks ago


Austin, Texas, United States Rockwell Automation Full time
Austin, Texas, United States

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 thework 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

Rockwell Automation is a leading technology company focusing on revolutionizing manufacturing operations through advanced artificial intelligence and machine learning solutions. We are focused on enhancing efficiency, reliability, and safety in industrial settings by leveraging the power of large language models.

Position Overview:

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.

Responsibilities:

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.

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.

Benefits:

  • 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.

#LI-DNI

We are an Equal Opportunity Employer including disability and veterans.

If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at

Rockwell Automation is an Equal Opportunity Employer – Disability/Veteran.

If you are an individual with a disability and you need assistance or reasonable accommodation during the application process, email our Talent Acquisition representative at


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