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05-04-2021 02:00 PM
Company introduction
We are an early stage, venture backed AI startup, formed with the mission of bringing AI technology directly to users with beautiful, human-centered design, and to build products that enable our users to accomplish more while maintaining a strong respect for user privacy. We hope to create a kinder, more human world with what we build – and our name reflects that. XOKind is an AI company, but it has kindness firmly at its heart. We strive to build an eXtra-Ordinary Kind of product (XOKind!), and we are launching our first product in the travel and leisure space.
We’re passionate travelers, scientists, product managers and engineers with a track record of using AI to power the next generation of applications and building successful companies. We are building a company culture of mutual respect, diversity of thought, performance excellence, and immense drive to achieve our mission.
We know travel is going to be back in a big way in 2021 and we’ve been incubating an amazing new tool for people to better plan their trips. Join us to help continue building the product that people will love for their travel.
The Role
As a Machine Learning Engineer/Data Scientist intern, your primary responsibilities will be to design, develop and deploy ML models to enable capabilities of our product, understand user preferences and delight users with intelligent algorithms. You will enjoy the challenge and the opportunity to translate the use case to a data and modeling strategy, bring your expertise in AI to solve a problem creatively. You will also collaborate closely with a team of AI experts, software and platform experts, a designer, and a product manager to build the product. There is potential for you to influence and be involved with all aspects of the company’s activities and help shape its overall future.
Responsibilities
Requirements
Please email your resume (and ideally a github link) to: shaowei@xokind.com. Download and try our app to have a better idea how AI is powering travel. It is now available on both the App Store http://ow.ly/BUAN50DAXtT and Google Play Store http://ow.ly/jZUy50DAXsL
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