Work Type: Remote (U.S. only) Employment Type: Contract Compensation: $30–$50 per hour (depending on experience) Start Date: Immediate — Project begins next week We are looking for a skilled AI / ML Engineer to join our team and help build a high-accuracy biometric authentication system for a smart lock platform. The goal of this project is to develop a facial recognition system with extremely low False Acceptance Rate (FAR < 0.01%), capable of identifying users accurately—even in challenging cases such as distinguishing identical twins. Project Environment - Training with large-scale biometric datasets such as MegaFace and mobile face recognition datasets - Deployment architecture will be hybrid, supporting both edge devices (smart lock hardware) and cloud systems Responsibilities - Develop and train machine learning / deep learning models for face recognition - Build and improve computer vision pipelines for identity verification - Work with large-scale datasets to improve accuracy and reliability - Optimize models for real-world deployment on edge devices and cloud systems Requirements - Strong experience in Machine Learning / Deep Learning - Hands-on experience with Computer Vision - Proficiency in Python and ML frameworks such as PyTorch or TensorFlow - Experience working with large datasets and model training Preferred - Experience with face recognition systems - Familiarity with models such as ArcFace, FaceNet, or similar - Experience withLLMs or multimodal AI systems Application Please send: - Your resume - A short summary of your past Computer Vision or LLM projects - Any GitHub, portfolio, or relevant work (if available) We are prioritizing candidates who are available to start immediately, as the project will begin next week.