Computer Vision Engineer
Core
Build Vision Weigh, a computer vision product for animal measurement (weight, condition scoring) on commercial farms using cameras and edge compute.
Role type
Senior Computer Vision Engineer (Edge AI)
Builds
Production-grade computer vision models and pipelines for livestock monitoring deployed on edge hardware.
Domain
Agriculture / Livestock Management / Edge AI
Deliverable
production ML models
Required skills
Computer vision (segmentation, pose estimation, point clouds), Python, PyTorch, Edge deployment (Jetson, NPU, SBC), Depth sensing (stereo, ToF, structured light), Model calibration, Generative AI / Foundation models, C++ for latency-critical paths, Experiment tracking, Dataset versioning.
Preferred skills
Luxonis DepthAI, Stereolabs ZED, Intel RealSense, AWS, Databricks, MLflow, Livestock/Agriculture domain experience.
Responsibilities
Take vision prototypes to reliable commercial deployment, manage the full cycle of design, test, deploy, and iterate, optimize models for edge constraints (latency, memory, thermal), handle noisy real-world data (mud, lighting, animal movement), leverage generative AI to reduce annotation effort.
Seniority
Senior, hands-on IC
