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.