Machine Learning Engineer, HD Map jobs in United States
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Bot Auto · 1 day ago

Machine Learning Engineer, HD Map

Bot Auto is working on cutting-edge autonomous technologies that impact self-driving cars. They are seeking a highly motivated Machine Learning Engineer to develop learning-based algorithms for online map building in various environments, leveraging deep learning and transformer-based architectures to enhance real-time mapping and perception systems.

AutomotiveAutonomous VehiclesTransportation

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

Qualification

Deep learningComputer visionTransformer architecturesPythonPyTorchTensorFlowC++Research publicationsAutonomous drivingSemantic segmentationMulti-modal sensor fusionLarge-scale datasetsReal-time processingProblem-solving

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

Company

Bot Auto

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Transforming American Transportation with Autonomous Trucks

Funding

Current Stage
Growth Stage
Total Funding
$20M
2024-09-26Seed· $20M

Leadership Team

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Xiaodi Hou
Chief Executive Officer
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Chu Qian
Head of Product
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Company data provided by crunchbase