微软 Bing Growth 团队急招机器学习工程师/负责人

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组里急招,地点北京 / 苏州皆可,主要负责通过模型 / 机器学习为 Bing 带来 DAU/Revenue 增长,Senior/Principal level (五年以上工作经验),也有 Tech lead role (八年以上工作经验),简历请直接联系 base64 YmluZ3JlY3J1aXRpbmdAb3V0bG9vay5jb20=

简历可以快速直达团队经理,流程会非常快,机不可失

Description

Since Bing Launched in June of 2009, the search world has changed for the better. Bing Growth team is responsible for growing the search business faster than ever before. We are an extremely agile team and we move very fast from ideas to experimentation, development and deployment through continuous releases throughout the year.

Now we are looking for strong data scientists (1 tech lead role) to join our fun and challenging journey. As a member in Bing Growth team, you live on the front end of our products and features used by millions of people every day. We explore and invent cutting edge methods in statistics, information retrieval, data mining, machine learning, LLM, UX framework and distributed systems to solve hard problems and optimize engagement and revenue across different entry points. You will have enormous resources at your disposal, high-performance distributed systems with vast amounts of raw and processed data from our logs/index and the tools to work with this data. You have the right environment and strong support to drive your favorite features to solution. You will have the opportunity to make huge impact towards Bing key metrics like revenue and retention, and deliver the optimal E2E experience for our users which will increase their satisfaction, engagement, and trust.

Responsibilities

  • Leverage state-of-art machine learning techniques, brainstorm, implement, flight and ship features
  • Design and build efficient models to optimize user engagement and revenue across different entry points
  • Understand user behaviors, metrics and able to get insights of what happened from real traffic scorecard, and come up with improvement plan if needed
  • Partner with other teams in different countries to achieve fast collaboration and agile development

Qualifications

  • B.S. in Computer Science or equivalent required; MS/PhDs preferred
  • Expertise and practical experience in using statistical machine learning, deep learning, data mining, information retrieval/optimization, and LLM
  • At least 5 year of industry experiences in machine learning / Deep learning
  • Familiar with at least one OOP language: C#/Python/C++/Java
  • Great design, problem solving, and data analysis skills, with demonstrated passion for quality, performance, and engineering excellence
  • Motivated and able to work independently as well in a collaborative team setting to research innovative solutions to challenging technical/business problems
  • Good communication skills in English
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