Research Scientist up to $250,000 plus Equity [785]

Company: Accelere
Location: Palo Alto
Posted on: February 18, 2021

Job Description:

One of our clients is looking to hire a "Research Scientist" at Palo Alto, California. Please find the job details below-We are a stealth startup building a cutting edge cloud AI service. Our founders have a wealth of experience working on various ground-breaking products including self driving cars, AWS AI services, GMail, Google Docs and flash storage systems. We have also previously been founders and early employees at startups. We are backed by Eric Schmidt and Decibel Ventures with Series A funding of $18 million. We are looking for talented research scientists to be part of the founding team. You will help build the product that applies unsupervised learning to model the world and automatically creates and manages production grade AI systems. 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.Required Skills:Unsupervised Learning Generative Modeling Deep Neural Networks Deep Reinforcement Learning Generative Adversarial Networks Causal Reasoning Job Description:We are looking for talented research scientists to be part of the founding team. You will help build the product that applies unsupervised learning to model the world and automatically creates and manages production grade AI systems. 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: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: Unsupervised Learning Generative Modeling Deep Neural Networks Deep Reinforcement Learning Generative Adversarial Networks Causal Reasoning Ideal candidates would be able to rapidly iterate on new ideas with engineers, potentially publish at top conferences and be able to write code.Responsibilities: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.

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