Key Facts

Remote From:

Arkansas (USA) , Minnesota (USA)

Full time

English

Hard Skills

Other Skills

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Teamwork
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Collaboration
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Self-Motivation

Roles & Responsibilities

Advanced degree (Ph.D. or Master's) in computer science, computer engineering, mathematics, physics, or related fields
In-depth knowledge and extensive experience in machine learning and/or computer vision, with proficiency in state-of-the-art ML techniques
Proficiency with PyTorch, TensorFlow, and other ML platforms/tools
Strong motivation to work independently in a fast-paced environment while collaborating with cross-functional teams on large projects

Requirements:

Explore and propose new ideas using deep learning, neural networks and large foundation models for autonomous driving, including end-to-end object detection, tracking/prediction, planning and control, and online mapping
Manage the full lifecycle of ML projects from data analysis and model experimentation to performance metrics verification, ensuring detailed understanding of the workflow
Collaborate with product, simulation and other autonomous driving algorithm teams to extend machine learning technology to all components

Job description

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.

We are looking for machine learning engineers at all levels to join our machine learning team. The mission of our team is to experiment, design and develop solutions addressing open questions in autonomous driving, towards the ultimate goal of full commercialization. You will work with a team of excellent engineers in a vibrant working environment at a fast pace.

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. 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, mathematics, physics, and etc.
Have in-depth knowledge and extensive experience in machine learning, and/or computer vision, 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.