Machine Learning Engineer Graduate (Recommendation) - 2026 Start (BS/MS)
Responsibilities
About the TikTok Data Team
Our TikTok team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok
Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
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. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
- Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning;
- Understand product objectives and machine learning techniques; improve model and recommendation strategy;
- Understand user behavior and apply ML algorithms to optimize content consumption and production experience;
- Understand content security strategy and apply ML algorithms to improve content audit process;
- Work with cross functional teams to grow company's product in important regional markets.
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Qualifications
Minimum Qualifications:
- Final year or recent graduate with a background in computer science, computer engineering, information systems or a related technical discipline from a university
- Solid experience with data structures or algorithms
- Software development experience through hands on coding in a general purpose programming language
- Strong communication and teamwork skills
- Passion about technologies and solving challenging problems
Preferred Qualification:
- Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas
By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
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
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