Machine Learning Engineer

Joining a dynamic team, the full-time Machine Learning Engineer III will drive end-to-end computer vision solutions for vehicle inspections, focusing on model design, deployment, and optimization while collaborating with stakeholders in a remote environment. Key responsibilities Design and train high-performance computer vision models for automated damage detection Architect and maintain high-throughput microservices for model serving to ensure low-latency performance Collaborate with business stakeholders to translate inspection requirements into scalable ML solutions Required qualifications Graduate education (MS or PhD) in a computationally intensive domain or equivalent work experience 3+ years of prior computer vision experience Advanced proficiency with computer vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL Experience designing and maintaining visual data annotation pipelines for complex image datasets Backend software engineering experience in the cloud (AWS/GCP) focusing on microservices and ML model development lifecycle