Machine Learning Engineer - 3D Vision Perception

In this role, you will:

• Design, develop, train and evaluate multi-sensor fusion based deep learning models to understand obstacles and environmental context

• Understand and curate real and synthetic datasets to improve our models

• Perform latency optimization and deploy models to our robot fleet

• Build a deep understanding of Perception gaps and behavioral issues around difficult obstacle types in order to help plan and prioritize our work

• Collaborate with Prediction/Planner team to deploy fully autonomous vehicles in environments with difficult and rare obstacles, extreme weather conditions, and complex driving scenarios

Qualifications:

5 years of industry experience or more

Proficiency in Python and strong skills in C++ coding & debugging 

Deep Learning expertise, preferably with panoptic segmentation experience

Experience developing multi-sensor fusion algorithms for object detection, panoptic segmentation or object tracking

Familiar with Transformer architecture

Bonus Qualifications:

Technical leadership experience with software or machine learning teams

TensorRT or CUDA experience

Experience of 3DGS for 3D reconstruction or novel view synthesis