Company Description
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 Data Engineer to join our AI Research startup team and help build out a cloud runtime for an AI engine that automates various aspects of a Machine Learning/Artificial Intelligence system workflow, including feature pipelines, model training, and a real-time multi-tenant inference system. As an initial member of the founding team, you will on a significant chunk of the company, shape its culture and work on state-of-the-art science and technology.
General Requirements
Responsibilities