Machine Learning Engineer Intern (Global E-Commerce, Risk Control) - 2027 Start (PhD)

Responsibilities About the Team

The E-Commerce Risk Control (ECRC) team is missioned: - To protect 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.

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 Develop domain-specific machine learning / LLMs / Agents to decode and prevent intricate, cross-domain fraudulent activties.

• Analyze massive business and security data to mine abnormal user behavior, and uncover evolving risky patterns.
• Productionize AI agent pipelines engineered for real-time prevention under massive global traffic.
• 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

• Currently pursuing a PhD in Computer Science or related fields.
• Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
• Good coding skills in one or more programming language.

Preferred Qualifications

• Good knowledge on machine learning / LLM / Agentic system and hands-on experience with popular frameworks such as pytorch, Scikit-learn, LangChain, Hugging Face Transformers.
• Ability to think critically, rationally, and communicate in result-oriented, data-driven manner.

Job Information

About TikTok 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 we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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.