Advanced Analytics Research Scientist - Industrial VLM Systems
About The Position
Rockwell Automation is seeking an innovative AI engineer/scientist to develop the next generation of vision-language AI systems for industrial automation and robotics. The role focuses on building multimodal AI systems that can understand environments, interpret visual and operational context, interact naturally with operators, and enable intelligent robotic and industrial behaviors in real-world settings. This position is at the forefront of vision-language models (VLMs), multimodal learning, robotics AI, and industrial autonomy, involving the development of systems that combine visual perception, language understanding, reasoning, and adaptive learning for complex physical environments.
Requirements
- Bachelor's Degree in Relevant Field
- Strong software engineering skills in Python and AI/ML tooling ecosystems
- Experience building AI systems that perceive, reason, and interact within physical environments
Nice To Haves
- Typically requires 5+ years relevant experience
- Strong background in one or more of the following: Computer vision, Vision-language models (VLMs), Multimodal AI, Robotics AI, Deep learning and representation learning
- Experience developing AI systems using modern machine learning frameworks and multimodal architectures
- Familiarity with: Foundation models, Transformer architectures, Video understanding, Visual reasoning, Embodied AI or robotic learning
- Bridge research and deployment in complex real-world systems
- Curiosity and experience with building AI systems that perceive, reason, and interact within physical environments
- Bonus Experience: Industrial automation or robotics platforms, Vision-based inspection systems, Simulation and digital twin environments, Edge AI deployment and optimization, Reinforcement learning or imitation learning, Multi-agent AI systems, World models and spatial reasoning, Human-in-the-loop learning systems
Responsibilities
- Develop and deploy vision-language AI systems for industrial automation, robotics and autonomous systems, operator assistance and collaboration, visual inspection and monitoring, and environment and scene understanding.
- Build multimodal AI architectures capable of reasoning over images and video, sensor and operational data, natural language instructions and documentation, and human interactions and feedback.
- Design systems that enable context-aware decision making, human-robot interaction, spatial and semantic understanding, task grounding and action reasoning, and continuous learning from deployment observations and operational feedback.
- Integrate AI models with robotics platforms, automation systems, edge devices, and industrial data infrastructure.
- Collaborate with researchers, controls engineers, robotics teams, and domain experts to deploy AI systems into real operational environments.
Benefits
- Health Insurance including Medical, Dental and Vision
- 401k
- Paid Time off
- Parental and Caregiver Leave
- Flexible Work Schedule
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What This Job Offers
Job Type
Full-time
Career Level
Senior
