Machine Learning Engineer - 3D Vision Perception

United States·Foster CityFull-timemid

Data ScienceMachine Learning EngineerDataData & AI

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Quick Summary

Overview

The Perception team is responsible for fusing sensor data from multiple modalities and producing relevant representations for difficult and unstructured obstacles around the vehicle.

Technical Tools

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The Perception team is responsible for fusing sensor data from multiple modalities and producing relevant representations for difficult and unstructured obstacles around the vehicle. We’re looking for someone with deep machine learning experience that can help with all stages of the model development lifecycle, including training, evaluation, and deployment.

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

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

Technical leadership experience with software or machine learning teams

TensorRT or CUDA experience

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