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- Work with computer vision / machine learning researchers to develop and implement state of the art algorithms in scene understanding.
- Evaluate metrics and verify the reliability of models.
- Optimize software to run robustly under run-time constraints on embedded platforms.
- Support autonomous driving deployment/demo development.
- Proficient in Python and open-source deep learning frameworks such as TensorFlow or PyTorch.
- Experience in computer vision / machine learning software development.
- M.S. or highly qualified B.S. candidate in computer science or related field.
- Hands-on experience in one or more of the following: recurrent neural network, graph neural networks, deep generative models (GAN/VAE), reinforcement learning.
- Understanding of perception and prediction algorithms.
- Understanding of multi-modal vision and language algorithms.
- Experience developing and deploying ML models on embedded platforms.