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R&D Intern - Machine Learning Scientist PhD
AOL
Los Angeles, CA, United States
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Company Description
Verizon Digital Media Services brings together world-class technology to prepare, deliver and display content — so users can watch and enjoy on their terms. The purpose of our platform is simple. It delivers next-generation digital experiences for today’s demanding users, whether it be their favorite TV shows, catching up with friends via social media or shopping for the latest gadgets. Built on top of one of the world’s largest networks, our platform easily handles your users’ appetite for instant, secure and always-on media, anytime, anywhere.
Job Description
We are looking for graduate internship candidates to help innovate cutting-edge technology and solve next generation problems. Selected interns will work on advanced research, applied algorithms, and networking technologies for the next generation Internet. The internship program will focus on the areas of high-speed routing and algorithms, software/hardware co-design, large-scale data processing/analysis, and optimization for networks along with application and design of machine learning algorithms.
Qualifications
• Must currently be enrolled in coursework at the PhD level
• Graduate student in PhD in CS, Statistics, Electrical Engineering, Mathematics, Database Systems or related programs
• Great skills in statistics, large-scale data analysis, and data structure & algorithms
• Publications in reputable machine learning/artificial intelligence journals, a plus
• Required platform experience: Linux
• Desired programming skill sets in R, Python, Scala
• Desired visualization experience: R/shiny, jupyter/ipython
Additional Information
EEO/AA Women, Minorities, Veterans, Individuals with Disabilities Employer: AOL offers a competitive salary and benefits package, including 401(k) match and performance bonus. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or other protected category.