Machine Learning Engineer Intern; Global E-commerce Risk Control - Summer; BS​/MS

Position: Machine Learning Engineer Intern (Global E-commerce Risk Control) - 2026 Summer (BS/MS)

Responsibilities

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.

Responsibilities

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 Byte Dance aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at Byte Dance

Internships at Byte Dance aim to provide students with hands-on experience in developing fundamental skills and exploring potential career paths. A vibrant blend of social events and enriching development workshops will be available for you to explore. Here, you will utilize your knowledge in real-world scenarios while laying a strong foundation for personal and professional growth. It runs for 12 weeks.

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 Byte Dance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible. Please state your availability clearly in your resume (Start date, End date).

Summer Start Dates:

• May 11th, 2026
• May 18th, 2026
• May 26th, 2026
• June 8th, 2026
• June 22nd, 2026

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.

Qualifications



Minimum Qualifications :

• Currently pursuing a BS/MS degree in Computer Science Engineering, Operations Research, or related fields.
• Able to commit to working for 12 weeks during Summer 2025
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
• 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 :

• Graduating December 2026 onwards with the intent to return to degree program after the completion of the internship.
• Demonstrated software…