Head of Computer Vision
Head of Computer Vision
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5years
225000 - 350000
1 Vacancy
Job Description
Head of Computer Vision
Location: San Francisco Bay Area (On-Site 5 Days a Week)
Overview
We re seeking an accomplished Head of Computer Vision to lead the development and deployment of next-generation video analytics systems that will transform how work is measured and optimized in complex large-scale environments. You will guide technical strategy manage research-to-production pipelines and work hands-on to deliver breakthrough capabilities in automated video labeling object tracking and real-time analytics.
This role offers the rare opportunity to build and scale the entire computer vision function at a fast-growing company working at the intersection of hardware AI and real-world impact. You will collaborate closely with cross-functional teams from hardware engineers to data scientists to deploy systems that integrate seamlessly with purpose-built devices in the field.
Key Responsibilities
- Technical Leadership Define and execute the computer vision roadmap from research to large-scale production deployment.
- Model Development Architect and optimize models for video processing object detection and activity recognition ensuring robustness in real-world conditions.
- Pipeline & Infrastructure Oversee design and scaling of ML pipelines including edge computing and integration with proprietary hardware.
- Product Integration Work with product and hardware teams to align CV capabilities with end-user requirements and operational goals.
- Team Building Recruit mentor and grow a high-performing computer vision engineering team.
- Innovation & Research Keep the organization at the forefront of CV advancements publishing and patenting as opportunities arise.
Requirements
Qualifications
- 7 years of experience in computer vision and machine learning with at least 3 years in a high-growth startup or leading projects at a top-tier tech company.
- Proven track record of taking ML/CV projects from initial concept to production with measurable business impact.
- Strong background in video analysis object detection and tracking in production environments.
- Hands-on experience with CV frameworks such as PyTorch TensorFlow and OpenCV.
- Expertise in edge computing hardware/software integration and scaling video analytics solutions.
- Advanced degree (M.S./Ph.D.) in Computer Science Electrical Engineering or related field.
- Published work in leading CV/ML conferences (CVPR ICCV NeurIPS) or significant patents in the field.
Preferred Experience
- Applications of CV in autonomous systems robotics or applied AI fields.
- Building unique large-scale labeled datasets and leveraging them for competitive advantage.
- Leading multi-disciplinary teams that bridge the gap between research and field deployment.
Who You Are
- Equally comfortable in the weeds coding and at the whiteboard setting strategic direction.
- Driven by real-world impact especially in industries where technology adoption is accelerating.
- Operate with first-principles thinking and bring humility curiosity and a bias for action.
- Excited to work hands-on in the lab and on-site to see your technology in action.
Benefits
Qualifications 7+ years of experience in computer vision and machine learning, with at least 3 years in a high-growth startup or leading projects at a top-tier tech company. Proven track record of taking ML/CV projects from initial concept to production with measurable business impact. Strong background in video analysis, object detection, and tracking in production environments. Hands-on experience with CV frameworks such as PyTorch, TensorFlow, and OpenCV. Expertise in edge computing, hardware/software integration, and scaling video analytics solutions. Advanced degree (M.S./Ph.D.) in Computer Science, Electrical Engineering, or related field. Published work in leading CV/ML conferences (CVPR, ICCV, NeurIPS) or significant patents in the field. Preferred Experience Applications of CV in autonomous systems, robotics, or applied AI fields. Building unique, large-scale labeled datasets and leveraging them for competitive advantage. Leading multi-disciplinary teams that bridge the gap between research and field deployment. Who You Are Equally comfortable in the weeds coding and at the whiteboard setting strategic direction. Driven by real-world impact, especially in industries where technology adoption is accelerating. Operate with first-principles thinking and bring humility, curiosity, and a bias for action. Excited to work hands-on in the lab and on-site to see your technology in action.
Education
MS or PHD from to 60 school
Employment Type
Full Time
