Machine Learning/Computer Vision Engineering Manager

Machine Learning/Computer Vision Engineering Manager Overview

• Lead 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 & Duties

• Lead 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 Requirements

• Master’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.