Advanced degree (Ph.D or Master's) in computer science, robotics, or similar fields
Extensive experience in machine learning and computer vision
Familiarity with PyTorch, TensorFlow, and other machine learning tools
Strong motivation to work independently and in a team
Preferred: Proven publications as first author in top conferences or journals
Preferred: Experience with generative models, model distillation, or inference acceleration techniques
Responsibilities
Propose innovative solutions leveraging deep learning and neural networks for autonomous driving
Manage the entire life cycle of machine learning projects from data analysis to performance verification
Collaborate across teams to integrate machine learning technology into various components
Work on end-to-end processes including object detection, tracking, and control
Engage in projects that require a comprehensive understanding of machine learning workflows
Benefits
Opportunity to work on cutting-edge technology in autonomous driving
Exposure to varied cross-team collaborations
Support for research and publication
Dynamic work environment that fosters innovation
Professional growth and development opportunities
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.
