Responsibilities
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
We are looking for talented individuals to join us for an internship in 2024. Internships at TikTok aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at TikTok.
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Successful candidates must be able to commit to either of the following Internships
- From March to June (Offcycle)
- From May to August (Summer)
We will prioritize candidates who are able to commit in this internship period. Please state your availability clearly in your resume (Start date, End date)
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Team Introduction
The E-Commerce Risk Control (ECRC) team is missioned: - To protect Tiktok E-Commerce users, including and beyond buyer, seller, creator; - By securing the integrity of our ecommerce ecosystem and providing a safe shopping experience on the platform; - Through building infrastructures, platforms and technologies, as well as collaborating with many cross-functional teams and stakeholders.
In this team you'll have a unique and exciting opportunity to have first-hand exposure to build scalable and robust, intelligent and privacy-safe, secure and product-friendly systems via AI technology and data science products. Our challenges are not some regular day-to-day technical puzzles -- You'll be part of a team that's developing novel solutions to first-seen challenges of a non-stop evolvement of a phenomenal product eco-system.
Responsibility
- Develop machine learning solutions for identifying and preventing various fraudulent activities
- Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns
- Build data pipeline to enable scalable and real-time risk prevention
- Analyze / test the effectiveness of the built solutions
- Work in a cross-functional team setting to mitigate business risks
- Work with relevant software platform to develop/deploy/monitor the models.
Qualifications
Minimum Qualifications
- Undergraduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Familiar with machine learning frameworks such as scikit-learn, tensorflow, pytorch
- Ability to think critically, rationally, and communicate in result-oriented, data-driven manner.
Preferred Qualifications:
- Good coding skills in one or more programming language (e.g. C/C++/Java/Python/Golang)
- Good communication skills and a fast learner of new business and technology knowledge.
- Strong collaboration skills with the ability to build rapport across teams and stakeholders
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.