> Markdown version of [/jobs/ext/4519634-senior-algorithm-engineer-deep-learning-vision](https://www.wearedevelopers.com/jobs/ext/4519634-senior-algorithm-engineer-deep-learning-vision). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # 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:** November 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-algorithm-engineer-deep-learning-vision-houston-tx--86f6a261-fce4-482d-8fc1-32dee378df64 ## About the Role Deep Learning, Algorithms, Startup, Autonomous Driving Systems, Deep Learning, Data Analysis, Machine Learning, Performance Metrics, Performance Modeling, Data Modeling, * 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.