- San Francisco
- Date Posted
- May. 30, 2021
- Research & Science
Responsible for coming up with new techniques in unsupervised learning, dataset augmentation and deep reinforcement learning that can be applied to automating various parts of the AI development workflow.
Candidates will need to have a PhD preferably in Artificial Intelligence or Machine Learning. We are looking for people who have done research / published papers in one of the following areas:
Deep Neural Networks
Deep Reinforcement Learning
Generative Adversarial Networks
Ideal candidates would be able to rapidly iterate on new ideas with engineers, potentially publish at top conferences and be able to write code.