Advanced Analytics Research Scientist - Vision AI

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's AI Center of Excellence in Austin Texas has a position available for a creative data scientist with strong software development background. You are expected to design, develop, and deploy efficient machine learning algorithms that enable the use of computer vision in closed loop operation for time-sensitive applications. You will be reporting to the Director, Artificial Intelligence Center of Excellence.

• Develop and deploy end-to-end AI solutions and architectures (including data extraction, algorithm development, control system integration, and MLOps).
• Create and execute required test scenarios/plans to ensure complete testing of AI solution and its components
• Architect AI solution for integration with real-time control loop in Industrial Automation applications.
• Collaborate with product owners and stakeholders to ensure alignment of AI architecture with business priorities
• Proactively monitor industry trends and identify opportunities to implement new technologies
• Help create a culture of openness, honesty, and transparency
• Build strong relationships with technical and business stakeholders across the organization
• Strong knowledge of computer vision fundamentals and modern deep learning techniques for vision applications (CNNs, transformers, object detection, segmentation)
• Solid understanding of mathematical concepts underlying computer vision (linear algebra, probability, optimization)
• Experience with at least one deep learning framework, preferably PyTorch
• Programming proficiency with Python, and familiarity with JavaScript
• Experience with OpenCV and image processing techniques
• Enthusiasm toward learning new technologies is a must

• Bachelor's Degree in Relevant Field

• Bachelor's, Master's, or Ph.D in Computer Science, Engineering, Applied Mathematics, or related fields with a strong focus on AI and deep learning.
• Typically requires minimum 5 years relevant experience.
• Experience with vision transformer architectures (ViT, DETR, Swin)
• Familiarity with foundation models and zero/few-shot learning for vision tasks
• Experience with Django, Celery, React, RTK, SQL, NoSQL
• Knowledge of MLOps and model deployment pipelines
• Experience with automation applications (PLC, HMI, SCADA)
• Experience with cloud solutions (e.g., Azure, AWS) and ML services
• Experience with edge deployment for computer vision (e.g., Nvidia Orin/Jetson, Arduino, Raspberry Pi)
• Understanding of performance optimization techniques for computer vision models on resource-constrained platforms
• Must be experienced in deploying machine learning models to edge platforms.

• Health Insurance including Medical, Dental and Vision
• 401k
• Paid Time 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.

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

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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.