At Bot Auto, you’ll work on cutting-edge autonomous technologies that directly impact how self-driving cars perceive and navigate the world. You’ll collaborate with experts across AI, mapping, and robotics, shaping the next generation of intelligent mapping systems.
About the RoleWe are seeking a highly motivated Machine Learning Engineer to join our HD mapping team. The ideal candidate will develop learning-based algorithms for online map building in both well-maintained road environments and challenging construction zones. You will leverage cutting-edge deep learning and transformer-based architectures to improve our real-time mapping and perception systems, which serve as the foundation for safe and scalable autonomous driving.
Key Responsibilities- 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.
- 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.
Top Skills
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.
