Machine Learning Engineer Graduate (TikTok Shop - Data Intelligence) - 2026 Start (BS/MS)
Responsibilities
About the team
The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated. With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. We aim to bring discovery, inspiration, and joy back to shopping by making TikTok the commerce channel of choice for merchants, creators, and affiliates. We are looking for passionate and talented people to join our product and operations team, to build an e-commerce ecosystem that is innovative, secure and intuitive for our users and brands.
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.
Candidates who pass resume screening will be invited to participate in TikTok's technical online assessment.
Responsibilities:
- Responsible for development of data-empowered capabilities for e-commerce platform, enable different e-commerce verticals to extract and apply key insights from oceans of data to meet their business needs.
- Develop data mining pipelines to extract data assets (eg. entity labels) from aggregated data and enable the extraction of actionable insights from large volumes of domain data.
- Design and development of various strategies, algorithms and machine learning techniques to improve the accuracy and coverage of extracted data assets.
- Analyze e-commerce data-related business problems and abstract them into data-related requirements that are then implemented to help resolve key business problems.
Qualifications
Minimum Qualifications:
- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, Electrical Engineering or a related technical discipline.
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- Familiarity with common statistical machine learning model algorithms, understands deep learning principles and frameworks.
- Familiar with one of the Python/Java/Go/C++ programming languages and common data structures and algorithms; demonstrable coding ability.
- Good problem analysis and solving ability, quick learner with independent research ability, strong collaboration and teamwork mindset.
Preferred Qualifications:
- Agile, quick self learner, highly self-motivated with strong sense of product ownership and creative problem solver.
- Deeply passionate about software coding/development and building great mobile/web applications.
- Good collaborator and team player, comfortable working in a fast moving, culturally diverse and globally distributed team environment.
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
Hear directly from employees about what it is like to work at TikTok.