Job description

👩‍💻 AI ENGINEER Location: SF/ NYC/ Hybrid Type: Full-Time | Founding Team Opportunity ABOUT NAVIGATE AI Navigate is building frontier AI technology for the field workforce—starting with construction. We've partnered with some of the biggest infrastructure companies in the U.S. and have early traction combining AI, spatial computing, and video intelligence. We've just scratched the surface of what’s possible with spatial video, LIDAR, and computer vision. Now we're looking for a founding computer vision engineer to push this to the next level. THE ROLE We’re looking for a hands-on, creative CV engineer who wants to build products that live in the real world—not just the lab. You’ll work directly with the founding team to bring video-based intelligence to life, using real footage from job sites, spatial data, and user context. You'll shape the computer vision layer of our product—from prototyping and modeling to integrating it directly into customer-facing applications. WHAT YOU’LL DO - Design and develop real-time video analysis pipelines, including object detection, tracking, pose estimation, or 3D reconstruction - Explore LIDAR, depth data, or SLAM to improve spatial awareness in vision models - Fine-tune models using real-world, domain-specific data from the field - Collaborate closely with product and engineering to ship features that blend AI, video, and intuitive UX - Experiment with AI prompting or LLM tools to layer intelligence over video data - Help shape the long-term CV strategy and technical architecture YOU MIGHT BE A FIT IF YOU: - Have 2–6+ years of experience in computer vision, CVML, or related applied AI fields - Are fluent in tools like OpenCV, PyTorch, TensorFlow, or MediaPipe - Have experience working with video data, multi-view camera inputs, or 3D point clouds - Have built and deployed CV models in real-world environments (even messy, imperfect ones) - Are excited about the intersection of AI + physical world—not just screen-based products - Bonus: Have experience with spatial computing, AR, or platforms like Meta Quest, Unity, or Unreal - Bonus: Have worked at companies like Waymo, Cruise, Tesla, Meta, or in research-driven CV roles WHY JOIN US? - Help define the future of spatial AI in a market ripe for transformation - Massive ownership and impact as an early team member - Work with high-agency founders and real customers - Competitive salary + meaningful equity - In-person in SF preferred; remote possible from NYC

Requirements

Must-haves

Location: SF/ NYC/ Hybrid
Type: Full-Time | Founding Team Opportunity
You'll shape the computer vision layer of our product—from prototyping and modeling to integrating it directly into customer-facing applications.
Design and develop real-time video analysis pipelines, including object detection, tracking, pose estimation, or 3D reconstruction
Explore LIDAR, depth data, or SLAM to improve spatial awareness in vision models
Fine-tune models using real-world, domain-specific data from the field
Collaborate closely with product and engineering to ship features that blend AI, video, and intuitive UX
Experiment with AI prompting or LLM tools to layer intelligence over video data
Help shape the long-term CV strategy and technical architecture
Have 2–6+ years of experience in computer vision, CVML, or related applied AI fields
Are fluent in tools like OpenCV, PyTorch, TensorFlow, or MediaPipe
Have experience working with video data, multi-view camera inputs, or 3D point clouds
Have built and deployed CV models in real-world environments (even messy, imperfect ones)
Are excited about the intersection of AI + physical world—not just screen-based products
WHY JOIN US?
Help define the future of spatial AI in a market ripe for transformation
Massive ownership and impact as an early team member
Work with high-agency founders and real customers
Competitive salary + meaningful equity

Nice-to-haves

Bonus: Have experience with spatial computing, AR, or platforms like Meta Quest, Unity, or Unreal
Bonus: Have worked at companies like Waymo, Cruise, Tesla, Meta, or in research-driven CV roles
In-person in SF preferred; remote possible from NYC

Application prep

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Keywords to mirror

aillm

Platform: ashby
Effort: quick

Benefits

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Vision