Machine Learning Engineer Intern (E-commerce Governance Algorithms) - 2025 Summer/Fall (BS/MS)

brant 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 beginning in May/June 2025 or August/September 2025 (Select May if Summer or August if Fall
Please state your availability clearly in your resume (Start date, End date).

Summer Start Dates:
Monday, May 12
Monday, May 19
Tuesday May 27 (Memorial Day May 26)
Monday, June 9
Monday, June 23

Fall Start Dates:
Monday, August 11
Monday, August 25
Monday, September 8
Monday, September 22

Applications will be reviewed on a rolling basis. We encourage you to apply early. 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 TikTok and its affiliates' jobs globally.

Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.

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

Qualifications

Minimum Qualifications:
-Currently pursuing a BS/MS degree in Computer Science or a related technical field. Recent graduates are highly encouraged to apply!

• Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline;
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment;
• 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.