Verizon Media (formerly Yahoo!, now a subsidiary of Verizon), is a values-led company committed to building brands people love.
We reach over one billion people around the world with a dynamic house of 50+ media and technology brands. As a global leader in digital and mobile, Verizon Media is shaping the future of media.
Our mission : build brands consumers love, build platforms customers love, and build a company talent loves.
We work on a variety of products such as real time personalization engine, content recommender system as well as content understanding model across the U.
S. and international markets. As our platform and data model are powering more and more products, quality improvement and performance stability are key pillars to advance our services.
Hence we are looking for outstanding interns with great technical skills to join our development team. You will be working on real-life complex challenges and access to internet-scale of data with top-notch engineers.
If you have a desire to be part of building the fastest, biggest, and most innovative products on the planet, come talk to us.
Due to Covid-19 in place, we are currently unable to extend offers to anyone who are not eligible to work from Taiwan. Hence, we will be prioritizing candidates who can start in Taiwan this summer as expected.
You are expected to work with our research engineers to apply scientific thinking and techniques to improve the performance and effectiveness of our products.
You might also need to perform metrics analysis for further model enhancement and build up a fast prototype to demonstrate the algorithm.
You will have the opportunity to publish your work and expand the horizons of web science and the experience of building online systems.
You will be coding in Java / Python and handle huge amounts of data to enhance current platforms for the coming growth.
Must be in Taiwan for the Summer of 2021.
Currently attending or getting permission of college or graduate school programs in 2020 / 2021
8-weeks commitment, available to work 40 hours per week.
BS, MS or Ph.D. in Computer Science or equivalent.
Experience in statistical modeling, machine learning, computational linguistics, NLP, feature extraction, and data mining, ideally on a Web scale.
Experience or interest in recommendation engines, user behavior modeling, revenue optimization.
Good communication and collaboration skills to work with people from a variety of technical backgrounds and geographical locations.
Enjoys helping people, remains friendly and constructive under stress.