Software Engineer: Scene Understanding - HRI-US
Software Engineer: Scene Understanding
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.
M.S. or highly qualified B.S. candidate in computer science or related field.
Proficient in Python and open-source deep learning frameworks such as TensorFlow or PyTorch.
Experience in computer vision / machine learning software development.
- 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.
Duration: 2 years