Machine Learning Engineer Intern (E-Commerce Governance)- 2027 Start (PhD)

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TikTok’s Machine Learning Engineer Intern (E-Commerce Governance) offers a hands-on PhD internship onsite in Seattle for a 2027 start, with rolling reviews. You’ll join the Governance and Experience Algorithm team to design and implement algorithms that detect and curb risks and fraud across contents, products, sellers and creators, and you’ll partner with strategy, product, policy and ops to translate research into scalable features. Ideal candidates are pursuing a PhD in CS, software engineering or a related field, with ML NLP or computer vision interests and proficiency in C++, Python, Go or Java; experience in anti-fraud or platform integrity is a plus. To apply effectively, tailor your resume to demonstrate research impact, cross functional collaboration, and concrete product outcomes, include your start and end dates, and clearly state your availability.

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Team Introduction:
The Governance and Experience Algorithm team was established in September 2020 and its main job is to support the following businesses with the most advanced AI technology：
- Combat any kinds of risks/violations issues in E-commerce scenarios.
- Build an E-commerce ecosystem and improve platform service capabilities

We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.

Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume (Start date, End date).

Responsibilities:
- Work with a team to design and implement algorithms to detect and control risks/frauds in contents/products/sellers/creators;
- Collaborate with strategy team, product managers, policy team and ops team to help define products and drive initiatives from engineering viewpoints

Minimum Qualifications:
- Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering or a related discipline.
- An understanding or keen interest in machine learning, NLP, or computer vision;
- Familiarity with programming languages such as C++, Python, Go, or Java.

Preferred Qualifications:
- Interest or experience in anti-fraud, anti-spam, platform-integrity, or similar fields would be a cherry on top
- A profound sense of responsibility, coupled with exceptional communication and teamwork skills.