Machine Learning Engineer - Computer Vision

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

Position Summary:

Rockwell Automation is building FT Analytics VisionAI, a machine vision and visual inspection into the Portfolio. You will be the senior technical authority for the vision models behind that capability - the detection, classification, and anomaly models that decide whether a part passes or fails on a line running at production rate, on hardware sitting next to a Logix controller.

This is a hands-on role. You will set the modeling direction, own the evaluation methodology that says whether a model is good enough to ship, and work directly with manufacturing customers on what their defects actually look like. Accuracy targets here are set by a customer's scrap rate and cycle time, not by a benchmark leaderboard.

You will build in an AI-first engineering environment - coding agents running inside a harness we own, evals gating AI-generated changes, GitHub Copilot Enterprise and Claude in the daily loop, and MCP-based tooling that lets agents reach real build, test, and telemetry systems under human-in-the-loop review. You will also help define what eval-driven development means for model code specifically, where the regression suite gates a model release the way a test suite gates a build.

This role will have a remote schedule and will report to the Director, Software Engineering.

Your Responsibilities:

• Own the modeling approach for visual inspection - architecture selection, training strategy, and the accuracy, latency, and false-reject targets each deployed model must hit.
• Define and maintain the evaluation methodology and regression suite that gates a model release, including how labeled data is versioned, sampled, and audited.
• Optimize models for constrained edge targets: quantization, runtime selection, and throughput tuning against real camera and controller timing budgets.
• Own drift detection, retraining triggers, and production model monitoring across deployed customer installations.
• Partner with customers and application engineers on feasibility, data collection strategy, and acceptance criteria for new inspection applications.
• Set the technical bar for the ML discipline through design review, mentoring, and written architecture guidance.
• Apply agents and evals to the ML workflow itself - dataset triage, failure-mode summarization, experiment scaffolding - and measure whether they actually improved cycle time.

The Essentials - You Will Have:

• Bachelor's Degree or equivalent years of relevant work experience.
• Legal authorization to work in the US is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.

The Preferred - You Might Also Have:

• Typically requires 8+ years of related experience in a software product development environment.
• Bachelor's or advanced degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical discipline.
• Experience taking machine learning models from research through to production deployment
• Experience with deep learning for computer vision - detection, classification, segmentation, or anomaly detection
• Experience deploying vision models to edge or embedded targets under fixed latency budgets.
• Depth in PyTorch or TensorFlow, and in the tooling around dataset versioning, labeling quality, and experiment tracking.
• Experience with model optimization techniques - quantization, pruning, distillation, TensorRT or ONNX Runtime.
• Direct customer-facing technical experience: scoping applications, setting acceptance criteria, and defending a model's limits.
• Exposure to industrial or manufacturing environments, machine vision hardware, or PLC-based control systems.
• Experience building evaluation harnesses that let a team ship model changes with confidence.

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.

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

For this role, the Base Salary Compensation is from $146,880.00 - 220,320.00 USD with an annual target bonus of 8% of base salary. Our company benefits for the US can be found here. Actual pay will be based on factors such as skills, knowledge, education, and experience.

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.

#LI-MG4

#LifeAtRok

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.