Artificial Intelligence and Deep Learning Research Scientist (Ph.D. Candidates!)
Our client is an AI research startup company that is focused on the hard problems that enterprises have. Today, most North American organizations haven’t managed to deploy AI in production yet. The key reasons behind this include incomplete and noisy datasets, the exorbitant cost of finding, hiring and retaining the esoteric talent required to put an AI/ML system in production, and the black-box nature of neural-net based AI/ML models that sometimes result in predictions that can’t be explained easily and may introduce bias. We are working on a number of research areas to address these issues. Our research will be packaged into easy-to-use pay-as-you-go cloud service(s) that will be accessible to all enterprises later this year. In the meantime, we are partnering with a few select organizations who want early access to our research, to apply it to the problems they currently have. You can always apply for an invitation to get early access.
Description
We are looking for a Machine Learning/Deep Learning Research Scientist to join our stealth startup and help us build a cutting edge cloud AI service. You will come 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. Ideal candidates would be able to rapidly iterate on new ideas with engineers, potentially publish at top conferences, and have code writing ability. As an initial member of the founding team, you get to own a significant chunk of the company, shape its culture and work on state-of-the-art science and technology.
General Requirements
Responsibilities
Preferred Skills