Tech Stack

Description

You will join a team of world-class machine learning engineers to develop ML models that detect semantic objects from multi-modal sensor data, enabling mapping and real-time localization for self-driving vehicles. You will define projects focused on scene understanding, productionize models, and deploy them onto autonomous vehicle fleets.

Requirements

• Masters or Ph.D. in CS or equivalent experience
• 7+ years professional software engineering experience
• Experience in real-time 3D Object Detection, Semantic Segmentation or Scene element detection
• Experience with deep learning frameworks like TensorFlow or PyTorch
• Fluency in Python and standard scientific computing libraries

Responsibilities

• Define and execute projects on scene understanding for geometric environment representation
• Develop ML models to detect built environment using single or multi-modal sensor data
• Productionize and deploy solutions onto autonomous vehicle fleets
• Collaborate with localization, mapping and perception teams