Research Engineer in Recommendation 推荐算法工程师
Watch TV Shows, Movies, Live Cricket Matches & News Online
- Master degree or above. 1+ year experience of practical algorithm design and implementation in recommendation or machine learning related fields.
- Solid mathematics, computer and machine learning background. Solid knowledge and hands-on experiences in big data processing and parallel computing frameworks such as Hadoop and Spark. Experiences in streaming computation such as Storm or Spark streaming is a plus. Problem Solving: Logical thinker with good problem solving and analytical ability to apply your mathematical, algorithmic and other expertise to solve real problems. Learning Ability: Strong ability to master new technology in short time and apply to solve practical problems. Motivation: Passion for applied research and new technology, open to interdisciplinary work. Collaboration: Participated at least 1 team projects and played an important role to push the projects forward with others. Communication: Good communication skills, both verbal and written.
Reasons to be Excited
- We're a small unique team that has strong experience building and innovating in video at places like Hotstar, Hulu, Google, Amazon and Facebook.
- We have an unusually dedicated team whose passion and focus is in media and technology.
- The team works on a variety of platforms, services and devices tackling interesting engineering, product and design challenges.
- We're located nearby Tsinghua Science Park, the heart of China’s Silicon Valley with all of its great food, just a few minutes walk to Wudaokou or Zhongguancun Subway Station and easy access to the North 4th Ring Road, G6 and G7.
About us Hotstar is one of the fastest growing video-on-demand services in the world. Our sophisticated video streaming technology and attention to detail on user experience across multiple devices makes us the top video destination for TV Shows, Movies, and LIVE Sports. With 85,000 hours of content in 8 languages, 100 Million downloads in a year, and a rapidly exploding watch time, our mission is to revolutionize Internet entertainment and become the largest personalized television service in the world.
Want to learn more about Hotstar? Visit Hotstar's website.
Using digital technology to transform the physical world