Advanced Analytics Research Scientist - VLA

Rockwell AutomationAustin, TX
Hybrid

About The Position

The AI Center of Excellence (COE) at Rockwell Automation is looking for an AI Scientist. This scientist will specialize in Vision–Language–Action (VLA) systems. The goal is to help develop the next generation of multimodal AI solutions for industrial environments. You will focus on translating recent advances in multimodal foundation models, embodied AI, and agentic systems into deployable technologies for real-world industrial applications. You will work with a diverse team of AI researchers, control engineers, and software developers to design systems that integrate perception, reasoning, and action for complex operational settings. This position offers the opportunity to apply state-of-the-art research in multimodal AI to large-scale industrial systems spanning manufacturing, robotics, and automation.

Requirements

  • Bachelor's Degree in Relevant Field
  • Proficiency in Python and modern ML frameworks (e.g., PyTorch)
  • Analytical thinking and the ability to translate research ideas into working systems

Nice To Haves

  • Typically requires minimum 5 years relevant experience
  • M.Sc or Ph.D in Computer Science, Robotics, Machine Learning, or a related field
  • Familiarity with agent-based systems, tool-use frameworks, or LLM-based planners
  • Expertise in deep learning and multimodal machine learning
  • Hands-on experience with vision-language models, multimodal transformers, or embodied AI systems
  • Experience designing and training large-scale transformer architectures

Responsibilities

  • Lead the development of vision–language–action architectures for industrial applications
  • Design and implement multimodal learning systems that integrate perception, language understanding, and decision making.
  • Adapt and fine-tune multimodal foundation models for domain-specific industrial tasks.
  • Develop Agentic AI frameworks that connect perception models with tools, control systems, or operational workflows.
  • Evaluate system robustness, safety, and reliability in real-world environments
  • Collaborate with cross-functional teams to translate research prototypes into deployable solutions
  • Contribute to the organization's technical leadership through publications, internal research reports, and technical mentoring

Benefits

  • Health Insurance including Medical, Dental and Vision
  • 401k
  • Paid Time off
  • Parental and Caregiver Leave
  • Flexible Work Schedule
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