Senior Algorithm Engineer, Deep Learning & Vision

Bot Auto; Georgia; On-site; USD 140,000 - 210,000; Full time

Job summary

Bot Auto is advancing autonomous trucks in the United States and seeks ML/vision researchers to push end-to-end development across perception, planning and control. You will work on deep learning, neural networks and foundation models for object detection, tracking and localization.

You will contribute to the complete ML lifecycle, from data analysis and experiments to metric verification, while collaborating with product and simulation teams to broaden ML impact across all components.

Qualifications

• Advanced degree required (Ph.D. or Master’s) in a related field such as computer science, computer engineering, robotics, mathematics or physics.
• In-depth knowledge of machine learning and computer vision, modern transformer architectures, and SOTA techniques.
• Familiarity with PyTorch, TensorFlow and other ML platforms/tools.
• Ability to work independently in a fast-paced environment while collaborating on larger projects.

Responsibilities

• Explore and propose new ideas using deep learning, neural networks and large foundation models in autonomous driving, including end-to-end object detection, tracking, prediction, planning and control, and online mapping; SLAM in localization.
• Manage the entire life cycle of machine learning projects from data analysis and experiments to performance verification.
• Collaborate across product, simulation and other autonomous driving teams to extend machine learning to all components.

Skills

Deep learning

Neural networks

Foundation models

Object detection

Tracking

Education

Ph.D. in CS/Engineering/Robotics

Master's in related field

Tools

PyTorch

TensorFlow

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.

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.