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Description

For over 35 years, McCue has been designing smart solutions that make the world’s busiest places work better. From retail stores to industrial spaces, we partner with customers to solve real-world challenges through innovative products and exceptional service. As a proud member of the Bunzl family, McCue combines the global reach and resources of an industry leader with the entrepreneurial spirit, customer focus, and creative energy that define our brand. We believe in collaboration, bold thinking, and making a lasting impact. Learn more at www.mccue.com/about-us .

McCue is seeking an AI Engineer to join our Innovation team. This role will focus on developing the intelligence that enables multiple safety-focused projects to accurately and reliably interpret visual data as part of autonomous inspection systems.

The ideal candidate is entrepreneurial, highly technical, and eager to work hands-on across AI model development, dataset creation, system integration, and prototype validation.

This role blends applied AI development, robotics perception, and systems-level thinking. It offers a rare opportunity to help build something entirely new within a proven, growing company.

This is a builder’s role, hands-on, high-ownership, and central to shaping the future of intelligent safety.

Responsibilities:

+ Lead and maintain the development of the AI and perception architecture for different projects

+ Collaborate cross-functionally with robotics, mechanical, and software engineers to define system requirements

+ Build an internal knowledge base around AI and machine learning

+ Ensure all AI models and datasets meet quality, compliance, and data security standards

+ Play a leadership role in shaping future hiring, partnerships, and technology roadmap for different projects

Key Activities:

+ Design, train, and evaluate computer vision models (e.g., YOLOv8, object detection, segmentation, classification) for industrial inspection tasks.

+ Define and manage datasets, including data organization, annotation standards, augmentation strategies, and quality checks.

+ Work with labeling tools and workflows such as Roboflow, CVAT, or similar platforms.

+ Optimize models for edge deployment using tools such as ONNX and TensorRT.

+ Develop and maintain evaluation frameworks using real-world metrics (precision, recall, mAP) tied to operational outcomes.

+ Collaborate with robotics and systems engineers to ensure models integrate cleanly into perception pipelines.

+ Support the design of data storage, retraining loops, and model versioning practices.

+ Experiment with approaches to improve robustness across lighting conditions, camera angles, and facility variability.

Qualifications

+ Bachelor’s or master’s degree in computer science, robotics, electrical engineering, or related field

+ 3–6 years of experience in AI, computer vision, or applied machine learning (industrial or robotics applications preferred)

+ Proven ability to train and deploy object detection or segmentation models on real-world datasets.

+ Experience optimizing models for deployment on edge devices (Jetson, ONNX, TensorRT preferred).

+ Solid Python programming skills; comfort working in Linux-based environments.

+ Experience working with labeled datasets and evaluating model performance in applied settings.

+ Comfortable operating in an early-stage, fast-moving environment with evolving requirements.

+ Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.

Key Results:

+ Deliver robust AI models capable of real-time safety inspection and damage detection with high accuracy and reliability.

+ Build and maintain scalable AI data pipelines for training, validation, and continuous improvement.

+ Integrate perception algorithms effectively with robotic hardware and cloud systems, ensuring stable operation in real-world environments.

+ Document model architecture, datasets, and performance metrics to support repeatability and future scaling.

+ Contribute to a culture of applied innovation by delivering practical, measurable AI outcomes that move projects from concept to commercial reality

The salary range for this role is a base of $110,000 - $125,000/ year based on education, experience and geography.

_Bunzl Distribution offers competitive salaries, a comfortable work environment, and a full range of benefits including a 401k with a company_ _match._

_Bunzl Distribution has a tradition of commitment to equal employment opportunity. It is the established policy to attract and retain the best qualified people without regard to race, color, religion, national origin, sex/gender (including pregnancy), sexual orientation, age, disability or veteran status as provided by law._

Qualifications

Experience

Required

+ 3 years: Artificial Intelligence

Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws.

For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.