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Machine Learning Engineer HD Map
Machine Learning Engineer HD MapBot Auto • Remote, Remote, United States
Machine Learning Engineer HD Map

Machine Learning Engineer HD Map

Bot Auto • Remote, Remote, United States
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
  • [filters.remote]
[job_card.job_description]

Why Join Us

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 Role

We 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.

Qualifications

Required

  • 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.
  • Preferred

  • 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 .
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