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# Senior Algorithm Engineer, Deep Learning & Vision

- **Company:** Bot Auto
- **Location:** Houston, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Artificial Neural Networks, Computer Vision, Computer Engineering, Machine Learning, Object Detection, Tensorflow, Pytorch, Deep Learning, Generative AI, Information Technology, TensorRT
- **Published:** July 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=812508685e12a444

## About the Role

* 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., * 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.

## Description

* 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.


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