As Director of Machine Learning/Computer Vision, you will lead the development of autonomous systems using advanced CV and ML technologies. You will blend hands-on technical work with people leadership to deliver innovative, field-ready platforms. You will partner with senior leadership to shape technical roadmaps and translate product goals into actionable plans. You will drive real-time CV solutions and collaborate closely with hardware and software teams to ensure robust, end-to-end delivery. This role offers impact at scale in a fast-paced, engineering-led environment.
Responsibilities
Lead and grow a team of computer vision and ML engineers
Define and execute technical roadmaps aligned with product and company goals
Develop and optimize real-time detection, tracking, and classification algorithms
Coordinate integration milestones with electrical engineering and hardware teams
Conduct design and code reviews to ensure quality and reliability
Drive testing and validation across diverse environments
Collaborate with senior leadership on technical direction
Ensure delivery of the CV/ML stack and monitor team performance
Key requirements
15+ years in ML-based computer vision and signal processing
Bachelor's degree in CS, EE, or related field; Master's preferred
Proficiency in Python and C++, with TensorFlow or PyTorch experience
Experience managing and scaling engineering teams
Expertise in embedded systems and sensor integration (cameras, LiDAR, RADAR)
Proven track record deploying CV systems in real-time or safety-critical settings
Experience with multi-sensor fusion and hardware integration cycles
Ph.D. in CV or ML is a strong advantage
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Director Of Machine Learning/Computer Vision • Austin, TX, United States