Chief Machine Learning/Computer Vision Engineer

Chief Machine Learning/Computer Vision Engineer Overview

• The Chief Machine Learning/Computer Vision Engineer will lead technical strategy and architecture for advanced perception systems in autonomous platforms.
• Collaborate with senior leadership to align technical goals with organizational priorities and product objectives.
• Drive innovation in computer vision and machine learning technologies for real-time detection, tracking, and decision-making systems.
• Mentor and develop senior engineers, fostering technical excellence across the engineering organization.
• Define and implement architectural standards, ensuring scalability, reliability, and performance of CV/ML systems.
• Lead resolution of complex technical challenges, balancing innovation with practical deployment requirements.
• Evaluate emerging technologies and research opportunities to maintain competitive advantages in perception systems.
• Collaborate with cross-functional teams to integrate machine learning systems with hardware and real-time control platforms.

Chief Machine Learning/Computer Vision Engineer Key Responsibilities & Duties

• Define technical vision and roadmap for computer vision and machine learning systems.
• Establish and enforce architectural standards for perception systems development.
• Lead design reviews, ensuring high technical standards and effective decision-making.
• Develop systems from research through production deployment, ensuring reliability and scalability.
• Mentor and guide senior engineers, fostering technical growth and innovation.
• Collaborate with leadership to align technical strategies with organizational goals.
• Evaluate and integrate emerging technologies to enhance system capabilities.
• Balance advanced research with practical deployment requirements for robust systems.

Chief Machine Learning/Computer Vision Engineer Job Requirements

• Master’s degree in Computer Science, Electrical Engineering, or related field; Ph.D. preferred.
• 15+ years of experience in machine learning and computer vision systems development.
• Proficiency in C++, Python, and modern ML frameworks like PyTorch or TensorFlow.
• Experience with robotics, autonomous systems, or real-time applications.
• Demonstrated expertise in system architecture and technical leadership.
• Strong problem-solving skills and ability to address complex engineering challenges.
• Experience with sensor fusion, edge computing platforms, and multi-sensor systems.
• Ability to operate effectively in fast-paced, technical environments with ambiguity.