We are the Bing Core Relevance team responsible for retrieving and ranking organic results for given search queries from hundreds of billions of indexed web documents. On top of that, we are also aggressively evolving Bing search engine from key word search centric system to a set of more general intelligence (AGI) capabilities that can help solve broader intent fulfillment, knowledge retrieval and task completion problems. Are you looking for opportunities to deliver innovations to tens of millions of users every month that impact their daily life? Do you want to be part of a fast-cycle, high visibility and hardcore search team with ambitious goals and intensive competitions? We are hiring extremely talented, highly motivated and productive developers with expertise in information retrieval, AI, machine learning, natural language processing, data mining and large scale distributed computation.
Our goal is to delight our users by satisfying their intent expressed through their queries. Our core drivers are large scale machine learning, including DNN and RNN based technologies, along with analyzing, inferring and experimenting with truly big data. As part of the team, you would be driving relevance projects through their entire life-cycle from idea creation through implementation, experimentation and finally to shipping. Bing core relevance team have offices in multiple worldwide locations, including Bellevue Washington, Silicon Valley, Germany, China and India, also closely collaborate
Working knowledge of current deep learning modeling and experimentation techniques Completion of large-scale deep learning experiments using tensorflow, pytorch or similar. PhD-level qualification in machine learning or a related area, such as math or physics.