No C2C, No 3rd party firms

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Job Title: ML Engineer (Vision, Object Detection)
Location: 100% onsite in Lake Forest, CA (candidates should already be local to SoCal)
Job Type: Direct-hire
Compensation: $150,000 to 170,000 (based on experience)
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Partnered with a client looking for a highly skilled ML/AI Engineer to design, develop, and implement AI-driven solutions that enhance 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.
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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.
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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.
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Responsibilities

• 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.

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Required Qualifications

• Master's degree (preferred) in CS, CE, ML or related field experience
• 5+ years of building models for edge deployment for camera-based object detection and classification
• Experience programming in Python (preferred)
• Experience in C++ a huge plus
• Experience with deep learning frameworks like PyTorch or TensorFlow.
• Strong knowledge of algorithm development and data structures.

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All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.