Head of Computer Vision

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.

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

Full Benefits