Today I saw this Tesla job posting:
As an Autopilot AI Scientist you will perform research and development to advance the state of the art in technologies enabling autonomous driving, research and develop algorithms for complex tasks like full scene understanding, scene prediction, planning and sequential decision making. Devise methods to use to enormous quantities of lightly labelled data in addition to a diverse set of richly labelled data.
Individuals in this role are expected to be experts in identified research areas such as computer vision, artificial intelligence, machine learning, and applied mathematics, particularly including areas such as supervised learning, graphical models, reinforcement learning, optimal control:
Develop state-of-the-art algorithms in one or all of the following areas: full scene understanding, multi-modal data processing, learning for planning and decision making, etc.
Implement them to run with real time performance in autonomous vehicle production environment.
Creative ways to use complementary sensor data, and offline processing to create ground truth for training the algorithms.
Some hints in here on what Tesla might be developing, or at least experimenting with. Could “methods to use enormous quantities of lightly labelled data” be a reference to supervised imitation learning? Or perhaps a way to train perception neural networks using driver input data?