kwai seattle AI lab火热寻找ai research scientist中

大家好，我司正在北美寻找top的ai research 人才，主要方向有广告和游戏ai。如果有兴趣的小伙伴请发简历到以下邮箱

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. 无论是phd or ms我们都希望小伙伴们有非常强的工程能力，能够get hands dirty(如果有顶会是bonus), 期待大家的加入。我们对专业不设限制，但是一定要有hands on经验的人（不光是课程project）。



Titile: AI Research Scientist

Location: Seattle, US

Kwai is the leading short video and photo sharing App in China, with a mission to provide people with a personal space to share moments from their lives. With an audience of 700 million people, and more than 100 million active daily users, it provides an almost limitless look at everyday slices of life that unfolds in real time. Viewers can explore a rich array of glimpses into fitness, homes, cooking, health and wellness, fashion, and other interests. Over 4 billion experiences have been generated since its inception!


Kwai is a user-oriented, technology-driven company, that employs state-of-the-art machine learning techniques for an instantly curated presentation of content. The core technology features computer vision with smart detection of video and photo streams, while AI-powered algorithms compose constant relevant updates for users’ timelines, resulting in a seamless and authentic experience.



About the position

At Kwai Seattle AI Lab, we are conducting cutting-edge AI research for processing and understanding video content to enrich our users' experience and to push the frontier of computer vision, graphics, and AI. We are seeking highly innovated AI scientist to help us define the next generation of our product.



As part of the team, you will …

Grow with one the most rapidly growing AI companies worldwide, with your work impacting hundreds of millions of users.
Closely collaborate with top-tier researchers and engineers in the US and China.
Have access to one of the largest and most diverse video datasets in the world.
Work on extremely challenging problems with opportunities to impact the research community.


Desired Skills and Experience

Clear logic
Strong programming skill
Strong ability of solving new problems
Ph.D. or Masters in CS/EE or a related discipline.
Recent publication in ICML, NIPS, SIGGRAPH, CVPR, ICCV, ECCV, or other top-tier venues.
Research experience in academia or industry on computer vision / graphics / machine learning / deep learning.
Experience with one of the deep learning toolkits such as TensorFlow, PyTorch, Caffe, etc.
Experiences of temporal models, such as RNN.
Experience with deep learning on mobile platforms is a big plus.