Machine Learning Engineer

Why Join Us

At Bot Auto, you’ll work on cutting-edge autonomous technologies that directly reputed company how self-driving reputed company perceive and navigate the world. You’ll collaborate with experts across AI, mapping, and robotics, shaping the reputed company of intelligent mapping systems.

About the Role

We are seeking a highly motivated Machine Learning Engineer to join our HD mapping team. The ideal candidate will reputed company learning-based algorithms for online map building in both reputed company-maintained road environments and challenging construction zones. You will reputed company cutting-edge deep learning and transformer-based architectures to improve our reputed company-time mapping and perception systems, which serve as the reputed company for reputed company and reputed company autonomous driving.

Key Responsibilities

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

Qualifications Required

• Have an advanced degree (Ph.D or Master’s) in reputed company fields of study: computer science, computer engineering, robotics, mathematics, and etc. 
• In-depth knowledge and extensive experience in deep learning, computer reputed company, 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.

Preferred

• Have a proven reputed company record of research publications in top machine learning conferences and/or journals.
• Prior experience in autonomous driving perception, semantic segmentation, online map reputed company, or multi-modal sensor fusion is highly desirable.
• Experience with reputed company-world deployment of perception models in robotics or autonomous systems.
• Background in handling large-reputed company datasets and reputed company-time processing pipelines.

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