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 Vision–Language–Action (VLA) Intern to contribute to the development of multimodal AI systems that connect perception, language, and action in real-world industrial environments. You will work closely with AI COE researchers and engineers to translate recent advances in foundation models into deployable, trustworthy industrial solutions.

This internship focuses on bridging state-of-the-art VLA research with the constraints of physical systems, operational workflows, and safety-critical decision-making.

Your Responsibilities:

Design and prototype vision–language–action pipelines for industrial use cases

Adapt and fine-tune vision-language models and multimodal foundation models for domain-specific industrial data

Integrate perception and language models with action representations (e.g., tool invocation, control commands, or workflow steps)

Evaluate model performance, robustness, and failure modes in realistic industrial scenarios

Collaborate with researchers and engineers on experimentation, deployment concepts, and technical documentation

The Essentials - You Will Have:

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

The Preferred - You Might Also Have:

Strong foundation in machine learning and deep learning

Experience with computer vision and/or natural language processing

Proficiency in Python

Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)

Familiarity with transformer-based models (e.g., vision transformers, LLMs, or multimodal models)

Strong analytical thinking, problem-solving, and communication skills

Experience with multimodal or VLA models (e.g., vision-language models, embodied AI, robotics, or agent-based systems)

Familiarity with LLM tooling (prompting, fine-tuning, adapters, tool use, RAG)

Exposure to robotics, control interfaces, or simulation environments

Understanding of MLOps practices for training, evaluation, and deployment

Experience with containerization (Docker, Kubernetes) is a plus

What We Offer:

Health Insurance including Medical, Dental and Vision

401k

Paid Holidays off

Parental and Caregiver Leave

Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.

To learn more about our benefits package, please visit at www.raquickfind.com.

At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.

This position is part of a job family. Experience will be the determining factor for position level and compensation.

#LI-DNI

For this role, the Base Salary Compensation is from $22/hour - $40/hour. Our benefits for the US can be found here. Actual pay will be based on factors such as skills, knowledge, education, and experience.

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 +1 (844) 404-7247.

Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.