Senior Software Engineer, Auto Labelling
Core
Building a cutting-edge offline perception and auto-labelling system leveraging computer vision and machine learning for autonomous transportation.
Role type
Senior IC machine-learning systems engineer (auto-labelling)
Builds
Large-scale auto-labelling training, evaluation, and automation ecosystem for autonomous trucks and robotaxis
Domain
Autonomous driving, computer vision, machine learning
Deliverable
production ML models
Required skills
ML system architecture, performance analysis, profiling tools, deep learning productionization, Python, distributed computing frameworks
Preferred skills
3D data (LIDAR/Point Clouds), multi-modal sensor fusion, Vision-Language Models (VLMs)
Technologies
Python, distributed computing frameworks
Responsibilities
Orchestrate large-scale auto-labelling training, evaluation, and automation; Architect and scale pipelines for large-scale data and user requests; Collaborate with ML researchers to deploy new architectures into production
Seniority
Senior, hands-on IC