Data Driven Algorithm Engineer Intern

2 weeks ago


San Jose, California, United States Tik Tok Full time

Company Overview

TikTok is the leading destination for short-form mobile video, with a mission to inspire creativity and bring joy. Our global offices are located in various cities around the world, including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.

We aim to create an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and our workplace reflects the many communities we reach.

Job Description

As a Data Driven Algorithm Engineer Intern at TikTok, you will have the opportunity to work on optimizing large-scale recommendation algorithms, solving optimization problems with complex constraints, and improving algorithms in multiple academic fields such as CV/NLP.

You will also design recommendation architectures for various scenarios and conduct complex and in-depth analysis of product data. This role requires strong machine learning research experience and proficiency in C++.

Required Skills and Qualifications

  • Currently pursuing BS/MS degree
  • Graduating December 2024 onwards with the intent to return to degree program after the completion of the internship
  • Able to commit to working for 12 weeks during Summer 2024
  • Solid machine learning research experience
  • Proficient in C++

Benefits

TikTok offers a vibrant blend of social events and enriching development workshops for interns. You will have the opportunity to utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth.

Estimated Salary: $80,000 - $100,000 per year

Location

TikTok's global offices are located in various cities around the world.

About Us

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We strive to reflect the many communities we reach through our platform and workplace.



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