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Algorithm Engineer Graduate (TikTok Shop Global E-Commerce, Knowledge Graph) - 2026 Start (BS/MS)

4 days ago Singapore

Responsibilities

Team Introduction
Our team is responsible for developing large scale product knowledge graphs to improve the online shopping experience. We are currently looking for talented software engineers that have a deep understanding of Natural Language Processing (NLP), Computer Vision (CV), Multimodality Large Model (MLLM), Deep Learning (DL), Reinforcement Learning (RL), Generative AI and Machine Learning(ML).

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
- Responsible for building and continuously optimizing algorithm solutions in product profiling construction & product information quality improvement etc. to accelerate supply operational efficiencies in global e-commerce markets;
- Responsible for continuously optimizing fundamental algorithms of unified product representations to further improve traffic efficiencies in global e-commerce markets.

Qualifications

Minimum Qualifications
- Final year graduates in Computer Science, engineering or quantitative field.
- Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.
- Solid data structure/algorithm foundation, proficient in machine learning/deep learning theoretical knowledge, and rich practical experience.
- Familiar with NLP, sentiment analysis, CV, multimodality, graph algorithm, search algorithm, text/data mining in 1-2 areas.

Preferred Qualifications
- Excellent analytical and problem solving skills with a passion for challenging issues.
- Good teamwork spirit and strong communication skills.
- Experience in overseas Internet/e-commerce business experience is preferred.

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

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Client-provided location(s): Singapore
Job ID: TikTok-7530867677587687687
Employment Type: OTHER
Posted: 2025-07-29T01:28:03

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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