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Advanced Analytics Research Scientist - AI for CBM

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

Rockwell Automation's AI Center of Excellence in Austin Texas has a position available for an imaginative data scientist with software development background. You are expected to design, develop, and deploy AI engines for condition-based monitoring and predictive maintenance in diverse set of industrial applications. Additionally, you will work with the operations teams. You will be reporting to the Director, Artificial Intelligence Center of Excellence.

Your Responsibilities:

  • Design, develop and deploy effective AI engines for condition-based monitoring against multi-modal sensory inputs.
  • Architect AI solution for integration with real-time control loop in Industrial Automation applications.
  • Create required test scenarios/plans to ensure complete testing of AI solution and its components.
  • Collaborate with product owners and partners to ensure understanding of AI architecture with our priorities.
  • Monitor industry trends and identify opportunities to implement new technologies.
  • Help create a culture of openness and transparency.
  • Build strong relationships with technical and business stakeholders across the organization.

The Essentials - You Will Have:

  • Bachelor's Degree in Relevant Field

The Preferred - You Might Also Have:

  • Bachelor's Degree in Relevant Field
  • Strong programming skills, particularly in Python, and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
  • Solid understanding of deep learning especially transformers in unsupervised and supervised learning applications.
  • 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.
  • Ability to work collaboratively in a fast-paced team environment.
  • Attention to detail, problem- solving skills.
  • Familiarity with edge computing for deploying AI models at the edge.

What We Offer:

  • 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.

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-LifeAtRok

#LI-Hybrid

#LI-AO1

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.

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Average salary estimate

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$130000K

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Our mission is to improve the quality of life by making the world more productive and sustainable. We are committed to enabling the next generation of smart manufacturing. With the right strategy, talented people, and our substantial financial str...

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Full-time, hybrid
DATE POSTED
April 18, 2025

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