Advanced degree (Ph.D or Master's) in computer science, computer engineering, robotics, mathematics, physics, or related fields.
In-depth knowledge and extensive experience in machine learning and/or computer vision.
Familiarity with modern transformer architecture and state-of-the-art (SOTA) techniques in machine learning.
Experience with PyTorch, TensorFlow, and other machine learning platforms.
Strong motivation to independently handle tasks in a fast-paced environment while collaborating on complex projects.
Responsibilities
Explore and propose innovative ideas in deep learning and autonomous driving.
Manage the entire life cycle of machine learning projects from data analysis to performance verification.
Collaborate with product, simulation, and other teams to integrate machine learning technologies into autonomous driving systems.
Benefits
Opportunities for collaboration on cross-team projects
Exposure to cutting-edge research and technology in autonomous driving
A dynamic and fast-paced work environment
Potential for contributing to innovative solutions in machine learning
Possibility of publishing research in top conferences and journals.
Full Job Description
Key Responsibilities
Explore and propose new ideas using your knowledge and experience in deep learning, neural networks and large foundation models in autonomous driving including: end-to-end object detection, tracking and prediction, end-to-end planning and control, and end-to-end autonomous driving system, end-to-end online mapping. SLAM in localization and etc..
Work on the entire life cycle of machine learning projects from data analysis, model experimentations to performance metrics verifications, and understand the entire workflow in great detail.
Be exposed to many cross-team projects and collaborate with the product, simulation and other sibling autonomous driving algorithm teams to extend machine learning technology to all components.
Qualifications Required:
Have an advanced degree (Ph.D or Master's) in related fields of study: computer science, computer engineering, robotics, mathematics, physics, and etc.
Have in-depth knowledge and extensive experience in machine learning, and/or computer vision, modern transformer architecture, and employ SOTA techniques of machine learning.
Be familiar with PyTorch, TensorFlow and other machine learning platforms and tools.
Have strong motivation to work independently in a fast paced environment while collaborating with other teams on more complex and larger projects.
Preferred:
Have a proven track record of research publications in top conferences and/or journals as the first author.
Have knowledge and experience of generative models, model distillation, or model inference acceleration (e.g. TensorRT) techniques.
