Machine Learning Engineer Intern (Global E-commerce Risk Control) - 2026 Start (PhD)

The E-Commerce Risk Control (ECRC) team's mission is : - To protect Bytedance e-commerce users, including and beyond buyer, seller, creator; - To make Bytedance e-commerce the safest and most trusted place worldwide to transact online by securing the integrity of the e-commerce ecosystem and providing a safe shopping experience on the platform; - Through building software systems, risk models and operational processes, as well as collaborating with many cross-functional teams and stakeholders.

The ECRC team works to prevent and detect any risk attempts in Bytedance e-commerce platforms (e.g.

Bytedance Shop) and to mitigate the negative impact on our customers and Selling Partners (Sps), covering multiple classical and novel business risk areas such as account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage etc.

We are looking for talented individuals to join us for an internship in 2026.

Internships at ByteDance aim to offer students industry exposure and hands-on experience.

Turn your ambitions into reality as your inspiration brings infinite opportunities at ByteDance

PhD internships at ByteDance provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.

Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.

Applications will be reviewed on a rolling basis - we encourage you to apply early.

Please state your availability clearly in your resume (Start date, End date).

Responsibilities: - Develop and implement innovative machine learning algorithms to manage business risks in Bytedance 's products and platforms. - Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams. - Collaborate with multidisciplinary teams to enhance current automation processes. - Build efficient data querying infrastructure for real-time and offline analysis. Identify opportunities to strengthen risk defense solutions. - Define risk control metrics and promote data-driven practices. Align teams and stakeholders on numeric goals for risk control. - Document technical processes and effectively communicate results through writing, visualizations, and presentations.

Minimum Qualifications: - Currently pursuing a PhD in Computer Science Engineering, Operations Research, or related fields. - Able to commit to working for 12 weeks during Summer 2026 - Proficiency in modern machine learning theories and applications, including ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, and unsupervised learning. - Experience with Python, SQL/Hive, and Hadoop - Strong understanding of data structures and algorithms, with excellent problem-solving ability - Detail oriented, effective time management, and strong analytical skills

Preferred Qualifications: - Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications - Internship experience or research experience, especially in e-commerce, risk control domain - Curiosity towards new technologies and entrepreneurship - High levels of creativity and quick problem-solving capabilities

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