Machine Learning Engineer Intern (E-commerce Governance Algorithms) - 2025 Summer/Fall (BS/MS)
Responsibilities
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 2025. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok
Internships at TikTok 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 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).
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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.
Perks and Benefits
Health and Wellness
- Health Insurance
- Dental Insurance
- Vision Insurance
- HSA
- Life Insurance
- Fitness Subsidies
- Short-Term Disability
- Long-Term Disability
- On-Site Gym
- Mental Health Benefits
- Virtual Fitness Classes
Parental Benefits
- Fertility Benefits
- Adoption Assistance Program
- Family Support Resources
Work Flexibility
- Flexible Work Hours
- Hybrid Work Opportunities
Office Life and Perks
- Casual Dress
- Snacks
- Pet-friendly Office
- Happy Hours
- Some Meals Provided
- Company Outings
- On-Site Cafeteria
- Holiday Events
Vacation and Time Off
- Paid Vacation
- Paid Holidays
- Personal/Sick Days
- Leave of Absence
Financial and Retirement
- 401(K) With Company Matching
- Performance Bonus
- Company Equity
Professional Development
- Promote From Within
- Access to Online Courses
- Leadership Training Program
- Associate or Rotational Training Program
- Mentor Program
Diversity and Inclusion
- Diversity, Equity, and Inclusion Program
- Employee Resource Groups (ERG)
Company Videos
Hear directly from employees about what it is like to work at TikTok.