The Data Science team at Intel’s wearable Group is a fast growing team developing machine learning models and data driven features for Intel’s Wearable devices. We are looking for a talented MSc/PhD student with solid industry or academy background in machine learning to join our team and help us to solve real world problems and provide solutions that empower our users. The position is for 2-3 days of work a week
The position is intended for MSc/Phd students in Computer Science, Applied Mathematics or equivalent with solid background, either from industry or academy, in Machine Learning, Data Mining, Information Retrieval, NLP or related.
We look for enthusiastic team players with strong research capabilities, strong theory/algorithm background and a good approach on how to use advanced knowledge for solving real world problems
Good programming skills, preferably in Java and R but not limited to it
Industry experience is a strong advantage
The job requires work 2-3 days a week.
Level of experience (years):
Entry Level (Less than 2 years of Experience)
How to apply:
Please mention NLP People as a source when applying
About Intel Corporation
Creating and extending computing technology to connect and enrich the lives of every person on Earth--that's our vision, is it yours? We are changing the world at Intel. Through our technical innovation, our endless efforts in education, environmental sustainability, healthcare, and much, much more.
The range of computing products based on Intel® architecture goes beyond PCs and servers and extends to phones, tablets, consumer electronics devices, and more. We are the world's largest semiconductor chip maker, based on revenue. Platforms are designed and configured to work together to provide an optimized user computing solution--one that is seamless, connected and puts the user at the center.
Step inside our world and you’ll find one brilliant mind after another working together in a spirit of collaboration that is simply contagious. And through this shared dedication—this culture of innovation and exploration—we do more than deliver the latest technologies. We deliver the future. See for yourself. Lo