Senior Algorithm Engineer, Deep Learning & Vision

Posted Yesterday
Be an Early Applicant
8 Locations
In-Office or Remote
Senior level
Logistics • Transportation
Transforming American Transportation
The Role
Develop and research deep learning and vision algorithms for autonomous driving (detection, tracking, prediction, planning, SLAM). Lead end-to-end ML projects from data analysis through model evaluation, and collaborate across product, simulation, and algorithm teams to extend ML technologies into system components.
Summary Generated by Built In
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.
QualificationsRequired: 
  • 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.

Skills Required

  • Advanced degree (Ph.D. or Master's) in computer science, computer engineering, robotics, mathematics, physics, or related field
  • In-depth knowledge and extensive experience in machine learning and/or computer vision
  • Experience with modern transformer architectures and state-of-the-art ML techniques
  • Familiarity with PyTorch, TensorFlow, and other machine learning platforms/tools
  • Experience across the entire ML project lifecycle: data analysis, model experiments, and performance verification
  • Ability to work independently in a fast-paced environment and collaborate across teams
  • Research publications in top conferences/journals as first author
  • Knowledge/experience with generative models, model distillation, or model inference acceleration (e.g., TensorRT)
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The Company
HQ: Houston, TX
76 Employees
Year Founded: 2023

What We Do

We are an L4 autonomous trucking company, based in Houston, Texas. We operate our autonomous truck fleet and offer Transportation as a Service (TaaS) to our freight customers. Our team combines visionary leadership, top-tier science and engineering talents, financial and governance experts, and industry veterans to build an AI-driven autonomous trucking company. We focus on fleet operations, transforming autonomous trucking into a commercially profitable product. This blend of experience, industry maturity, and innovative technology positions us to commercialize autonomous trucking at scale.

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