Director Of Machine Learning/Computer Vision

Director of Machine Learning/Computer Vision Overview

• The Director of Machine Learning/Computer Vision will lead the development of cutting-edge autonomous systems leveraging advanced computer vision and machine learning technologies.
• This role combines hands-on technical contributions with team management and leadership responsibilities, ensuring project success and innovation.
• Collaborate with senior leadership to define technical roadmaps and translate product goals into actionable plans and priorities.
• Drive the optimization of computer vision algorithms for real-time detection, tracking, and classification in challenging environments.
• Contribute to the development of reliable, field-ready platforms integrating software and hardware components.
• Foster a culture of technical excellence, innovation, and collaboration within the engineering team.
• Support career development and technical growth of team members through mentorship and guidance.
• Work in a fast-paced, engineering-focused environment dedicated to delivering impactful technologies.

Director of Machine Learning/Computer Vision Key Responsibilities & Duties

• Lead and grow a team of engineers specializing in computer vision and machine learning technologies.
• Define and execute technical roadmaps aligned with product and company goals.
• Develop and optimize algorithms for real-time detection, tracking, and classification.
• Coordinate integration milestones with electrical engineering and hardware teams.
• Conduct design and code reviews to ensure engineering quality and reliability.
• Drive testing and validation across diverse environmental conditions and operational scenarios.
• Collaborate with senior leadership to align technical direction and execution strategies.
• Ensure delivery commitments for the CV/ML stack and oversee team performance.

Director of Machine Learning/Computer Vision Job Requirements

• 15+ years of experience in machine learning-based computer vision and signal processing.
• Bachelor’s degree in Computer Science, Electrical Engineering, or related field; Master’s degree preferred.
• Proficiency in Python and C++, with experience in TensorFlow, PyTorch, or similar frameworks.
• Experience managing and scaling engineering teams, including hiring and career development.
• Expertise in embedded systems and sensor integration, including cameras, LiDAR, and RADAR.
• Proven track record of deploying CV systems in real-time or safety-critical applications.
• Experience with multi-sensor fusion and hardware integration cycles.
• Ph.D. in computer vision, machine learning, or related field is a strong advantage.