Advanced degree (Ph.D or Master's) in computer science, engineering, robotics, mathematics, or physics.
Extensive experience in machine learning and computer vision, utilizing state-of-the-art techniques.
Proficient with machine learning platforms such as PyTorch and TensorFlow.
Strong motivation for independent work in a fast-paced setting, alongside collaborative team efforts.
Responsibilities
Propose innovative ideas leveraging knowledge of deep learning and neural networks in autonomous driving.
Manage the full lifecycle of machine learning projects, including data analysis and model evaluations.
Collaborate with product and simulation teams on cross-functional projects to enhance machine learning applications in autonomy.
Benefits
Exposure to cutting-edge technology in the autonomous driving sector.
Opportunity to work on diverse projects across multiple teams.
Engagement in a dynamic, fast-paced work environment.
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.
