Machine Learning/Computer Vision Engineering Manager

Job DetailExperience Level DirectorDegree Type Master of Science (MS)Employment Full TimeWorking Type On SiteJob Reference 0000020268Salary Type AnnuallyIndustry Aerospace & DefenseSelling Points Lead impactful projects at a cutting-edge technology firm focused on autonomous systems. Drive innovation in machine learning and computer vision applications. Shape technical roadmaps and mentor a high-performing team.Job DescriptionMachine Learning/Computer Vision Engineering Manager OverviewLead the development of cutting-edge autonomous systems leveraging machine learning and computer vision technologies.Manage and grow a team of engineers, fostering technical excellence and innovation.Collaborate with senior leadership to define and execute technical roadmaps.Contribute to real-time detection, tracking, and classification algorithm development.Ensure system reliability through rigorous testing and validation processes.Drive the integration of CV/ML technologies with hardware systems.Support the transition from prototype to field-ready platforms.Promote a culture of innovation and technical excellence within the team.Machine Learning/Computer Vision Engineering Manager Key Responsibilities & DutiesLead and expand a team of engineers specializing in CV/ML technologies.Define technical roadmaps and align team priorities with organizational goals.Develop and optimize algorithms for real-time autonomous systems.Coordinate integration milestones with hardware and electrical engineering teams.Conduct design and code reviews to maintain engineering quality.Drive testing and validation across diverse operational scenarios.Collaborate with leadership to refine technical direction and execution strategies.Support field testing and hardware integration cycles for system deployment.Machine Learning/Computer Vision Engineering Manager Job RequirementsMaster’s degree in Computer Science, Electrical Engineering, or related field.10+ years of experience in machine learning-based computer vision and signal processing.Proficiency in Python, C++, and machine learning frameworks like TensorFlow or PyTorch.Experience managing or leading technical teams in CV/ML engineering.Strong background in deploying CV systems in real-time or safety-critical applications.Familiarity with embedded systems and sensor integration technologies.Expertise in object detection and tracking under challenging conditions.Experience with multi-sensor fusion and edge hardware optimization.