Senior Algorithm Engineer, Deep Learning & Vision

Bot-Auto; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Bot Auto seeks a Senior Algorithm Engineer to advance deep learning and vision for autonomous trucking in a fast-paced, collaborative setting. You will tackle end-to-end ML work from data analysis to model deployment, collaborating with product and simulation teams to push the boundaries of perception, tracking, and planning systems.

The role requires advanced degrees and strong experience with modern transformers, PyTorch, and TensorFlow, with a track record of independent research and

Qualifications

• Advanced degree (Ph.D or Master’s) in computer science, robotics, math, physics, or related field.
• Deep learning and computer vision expertise with modern transformer architectures.
• Familiarity with PyTorch, TensorFlow and other ML platforms.
• Ability to work independently in a fast-paced environment and collaborate across teams.

Responsibilities

• Explore and propose new ideas using deep learning, neural networks and large foundation models for autonomous driving, including object detection, tracking and prediction, planning and control, and SLAM localization.
• Oversee the full lifecycle of ML projects from data analysis to model experiments and validation of performance metrics.
• Collaborate with product, simulation, and other autonomous driving teams to extend ML tech across components.

Skills

Deep learning

Computer vision

Autonomous driving

Model experimentation

Cross-team collaboration

Transformer architectures

PyTorch

TensorFlow

Education

PhD in CS/Robotics/Math/Physics

Master's in a related field

Tools

PyTorch

TensorFlow

Job description

Senior Algorithm Engineer, Deep Learning & Vision

Houston, TX or San Francisco Bay Area

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.

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