Machine Learning Engineer Intern (E-commerce Governance Algorithms) - 2026 Summer (BS/MS)

Governance and Experience team of e-commerce are responsible for ensuring the safety and trust-worth of the marketplace for not only our users, but also sellers and creators. We value our users' satisfaction by working on policies, rules and systems to ensure the quality. We are looking for an algorithm technical manager who is obsessed with customer experience and passionate about building systems to detect various risks that can sabotage platform trust.

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:

• 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

Requirements:

Minimum Qualifications:

• Currently pursuing a BS/MS degree in Computer Science or a related technical field.
• An understanding or keen interest in machine learning, NLP, or computer vision;
• Familiarity with programming languages such as C++, Python, Go, or Java.
• Must be able to commit to a 12-week full-time work period during Summer 2026

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.

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