Tech Stack

Description

In this role, you will design and deploy deep learning models for autonomous battery-electric rail vehicles, focusing on perception systems that handle complex real-world environments. You'll own the full ML lifecycle and collaborate with engineers across autonomy, robotics, and systems to solve challenging problems in real-time computer vision.

Requirements

• Experience in 0 to 1 builds of perception systems
• Expertise in deep learning for computer vision
• Proficiency with large image, video, lidar, and radar datasets
• Strong skills in building ML infrastructure and tools
• Cross-functional collaboration experience

Responsibilities

• Design and deploy advanced ML models for large-scale perception
• Own full ML lifecycle from data mining to deployment
• Build architectures for object detection, segmentation, tracking, pose estimation, scene understanding
• Develop scalable training pipelines for real-time inference
• Conduct research to evaluate new architectures and improvements