Role summary
Bot Auto is seeking a Senior Machine Learning Engineer specializing in Computer Vision, HD Map, and SLAM for their autonomous truck division. This role involves exploring and implementing deep learning, neural networks, and large foundation models for autonomous driving systems, including object detection, tracking, prediction, planning, control, and online mapping. The engineer will manage the full ML project lifecycle, from data analysis to performance verification, and collaborate with cross-functional teams. A Ph.D. or Master's in a related field with extensive experience in ML, computer vision, and transformer architectures, along with proficiency in PyTorch and TensorFlow, is required. Preferred qualifications include research publications and experience with generative models or inference acceleration techniques.
Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
Key Responsibilities
Explore and propose new ideas using your knowledge and experience in deep learning, neural networks and large foundation models in autonomous driving including: end-to-end object detection, tracking and prediction, end-to-end planning and control, and end-to-end autonomous driving system, end-to-end online mapping. SLAM in localization and etc..
Work on the entire life cycle of machine learning projects from data analysis, model experimentations to performance metrics verifications, and understand the entire workflow in great detail.
Be exposed to many cross-team projects and collaborate with the product, simulation and other sibling autonomous driving algorithm teams to extend machine learning technology to all components.
Qualifications
Required:
Have an advanced degree (Ph.D or Master’s) in related fields of study: computer science, computer engineering, robotics, mathematics, physics, and etc.
Have in-depth knowledge and extensive experience in machine learning, and/or computer vision, modern transformer architecture, and employ SOTA techniques of machine learning.
Be familiar with PyTorch, TensorFlow and other machine learning platforms and tools.
Have strong motivation to work independently in a fast paced environment while collaborating with other teams on more complex and larger projects.
Preferred:
Have a proven track record of research publications in top conferences and/or journals as the first author.
Have knowledge and experience of generative models, model distillation, or model inference acceleration (e.g. TensorRT) techniques.