AI/ML Engineer (Computer Vision & Robotics)

Latent AI is hiring an AI/ML Engineer to build, optimize, and deploy production-grade computer vision systems on edge hardware. The role focuses on low-latency inference, robotics perception and navigation integration, and distributed edge deployments.

Responsibilities:

• Model Development: Design, train, and deploy deep learning models for computer vision using PyTorch, focusing on real-time object detection and spatial awareness
• Inference Optimization: Maximize model inference speed and guarantee low-latency performance on edge hardware utilizing CUDA and TensorRT
• Robotics Integration: Seamlessly integrate advanced computer vision models for perception and navigation for robots, drones, unmanned systems, swarms, etc
• Edge Deployment: Manage, scale, and maintain containerized edge deployments across distributed hardware using Docker and Kubernetes
• Performance Engineering: Drive automated data insights and high-performance edge computing initiatives to deliver measurable accuracy gains and operational efficiency in complex, high-speed field environments