Machine Learning Engineer – HD Map

Job not on LinkedIn

October 20

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Bot Auto

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Transport • Artificial Intelligence • Energy

Bot Auto is a leading L4 autonomous trucking company based in Houston, Texas, focused on transforming American transportation through innovative AI-driven solutions. Specializing in Transportation as a Service (TaaS), Bot Auto operates an autonomous truck fleet to offer efficient and reliable freight services. The company leverages cutting-edge AI technology to enhance safety by reducing road accidents, while continually integrating the latest advancements in machine learning, data infrastructure, and hardware. Bot Auto aims to make a significant positive impact on the American supply chain by addressing driver shortages and increasing transportation capacity, positioning itself at the forefront of making autonomous trucking commercially viable and sustainable.

11 - 50 employees

🚗 Transport

🤖 Artificial Intelligence

⚡ Energy

📋 Description

• Design, train, and deploy deep learning models for lane marking and road feature detection using camera, LiDAR, and other sensor data. • Develop transformer-based architectures and leverage other modern deep learning techniques for spatial-temporal perception and HD map updating. • Handle complex scenarios such as poorly painted lanes and temporary construction areas in dynamic weather conditions. • Collaborate with perception, localization, and planning teams to integrate learning-based map components into the autonomous driving system. • Conduct data analysis, dataset curation, and annotation for model training and evaluation.

🎯 Requirements

• Have an advanced degree (Ph.D or Master’s) in related fields of study: computer science, computer engineering, robotics, mathematics, and etc. • In-depth knowledge and extensive experience in deep learning, computer vision, and modern transformer architectures. • Hands-on experience with ML frameworks such as PyTorch or TensorFlow. • Solid programming skills in Python and preferably C++. • Strong problem-solving skills and ability to work in a fast-paced, research-driven environment. • Have a proven track record of research publications in top machine learning conferences and/or journals. • Prior experience in autonomous driving perception, semantic segmentation, online map generation, or multi-modal sensor fusion is highly desirable. • Experience with real-world deployment of perception models in robotics or autonomous systems. • Background in handling large-scale datasets and real-time processing pipelines.