Machine Learning Engineer, TikTok eCommerce (Risk Control) Intern - 2025 Start

Singapore

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Responsibilities

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.
Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.
To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.
Join us.


We are looking for talented individuals to join us in 2025. As an intern, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

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:
- Final year with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline
- Good coding skills in one or more programming language

Preferred Qualifications:
- Familiar with machine learning frameworks such as scikit-learn, tensorflow, pytorch
- Ability to think critically, rationally, and communicate in result-oriented, data-driven manner.

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

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Tags: Computer Science E-commerce Engineering Machine Learning Privacy PyTorch Scikit-learn Security TensorFlow

Perks/benefits: Career development Team events

Region: Asia/Pacific
Country: Singapore

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