Gatekeeper Systems stands proudly as the foremost global leader in retail loss prevention, operations management, and analytics, with our headquarters based in Foothill Ranch, California. We maintain a strong presence across the globe, with offices in the UK, Australia, China, Hong Kong, Germany, France, and Canada, fostering a diverse team of 450 talented employees. Over the past 25 years, Gatekeeper Systems has been at the forefront of the industry, demonstrating our commitment to excellence through cutting-edge technologies and unparalleled customer service.

Join us on our journey as we continue to revolutionize the retail sector, providing innovative solutions and services that redefine industry standards.

POSITION SUMMARY:

We are looking for a highly skilled Machine Learning and Artificial Intelligence Engineer to design, develop, and implement AI-driven solutions that enhance our products and services in the Retail Theft Prevention domain. The ideal candidate should have a strong background in machine learning, with expertise in both supervised and unsupervised methodologies. A solid understanding of traditional machine learning techniques such as decision trees and SVNs, as well as deep learning approaches, is highly preferred.

A key advantage would be the ability to optimize machine learning models for efficient deployment on edge devices, ensuring performance and scalability in real-world environments. Additionally, experience in data transformation and preprocessing is desirable, particularly the ability to structure and adapt data for seamless integration with machine learning models.

This role offers the opportunity to work on cutting-edge AI solutions that drive innovation in computer vision, anomaly detection, and predictive analytics within the retail security landscape.

WHAT WE OFFER…

Join the team at Gatekeeper Systems and watch your career grow! We offer competitive compensation and benefits packages that include:

Attractive Total Compensation Package
Hybrid work schedule
Comprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options.
401(k) Plan with Employer Match
Generous Paid Time Off (PTO) policy
Observance of 11 paid company holidays

ESSENTIAL JOB FUNCTIONS; but not limited to:

Design and implement real-time object detection, tracking, and classification solutions using machine learning and computer vision techniques.
Optimize models for real-time processing on various platforms, including edge devices, cloud-based systems, and embedded hardware, ensuring low-latency performance.
Develop and manage end-to-end machine learning pipelines to automate and optimize data curation, preprocessing, and model training workflows.
Implement automation tools and monitoring frameworks to track model performance, detect anomalies, and streamline updates.
Design, develop, and deploy unsupervised machine learning models to identify anomalies and irregular patterns in system operations, data streams, or user behavior
Design and implement models to detect, diagnose, and resolve system issues.

QUALIFICATION REQUIREMENTS

The requirements listed below are representative of the knowledge, skill and/or ability required.

Strong knowledge of algorithm development and data structures.
Proficiency in TensorFlow Lite and model quantization.
Ability to thrive in a fast-paced environment and handle complex, evolving requirements.
Track record of innovative problem-solving and a willingness to explore unconventional approaches.
Exemplifies professionalism in all aspects of day-to-day duties and responsibilities.
Self-aware and open to learning about personal effectiveness in the workplace.
Exhibits a positive attitude toward the vision, policies, and goals of Gatekeeper Systems.
Constantly strives to improve performance and effectiveness of the team and the company.

EDUCATION AND/OR EXPERIENCE

Master’s degree (preferred) in CS, CE, ML or related field experience
3+ years of building models for edge deployment for camera-based object detection and classification
Experience programming in Python (preferred) or C/C++
Experience with deep learning frameworks like PyTorch or TensorFlow.
Experience working with MobileNetV2 and YOLOv8 models.
Experience with Google Cloud Platform and cloud-based AI workflows.

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Repetitive motions and routine use of standard office equipment such as computers, telephones, copiers/scanners and filing cabinets.
Ability to see, speak, walk, hear, stand, use of hand/fingers to handle or feel; climb stairs, stoop, carry/lifting up to 5O lbs.
Ability to sit at a desk.
Specific vision abilities required include close vision, color vision, peripheral visions, depth perception and the ability to adjust focus.

DISCLAIMER

This Job Description is a general overview of the requirements for the position. It is not designed to contain, nor should it be interpreted as being all inclusive of every task which may be assigned or required. It is subject to change, in alignment with company/department needs and priorities.

Gatekeeper Systems, Inc., is an equal opportunity employer. We are committed to developing a diverse workforce and cultivating an inclusive environment. We value diversity and believe that we are strengthened by the differences in our experiences, thinking, culture, and background. We strongly encourage applications from candidates who demonstrate that they can contribute to this goal. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any protected basis.

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