Machine Learning Engineer Graduate (TikTok Shop - Data Intelligence) - 2026 Start (BS/MS)

TikTok

4.5

(6)

Singapore

Why you should apply for a job to TikTok:

  • 4.5/5 in overall job satisfaction
  • 4.5/5 in supportive management
  • 100% say women are treated fairly and equally to men
  • 100% would recommend this company to other women
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Employee well-being is supported via hybrid work, short-term counseling through our EAP and a premium subscription to Headspace.
  • We embrace diversity across all dimensions and provide employees with 9 employee resource groups globally, including our WOMEN ERG.
  • Comprehensive parental leave policy as well as fertility treatment through healthcare providers with a $20,000 lifetime maximum.
  • #7537244549992417543

    Position summary

    imitless 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.
    • 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 [email protected]

    Why you should apply for a job to TikTok:

  • 4.5/5 in overall job satisfaction
  • 4.5/5 in supportive management
  • 100% say women are treated fairly and equally to men
  • 100% would recommend this company to other women
  • 100% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Employee well-being is supported via hybrid work, short-term counseling through our EAP and a premium subscription to Headspace.
  • We embrace diversity across all dimensions and provide employees with 9 employee resource groups globally, including our WOMEN ERG.
  • Comprehensive parental leave policy as well as fertility treatment through healthcare providers with a $20,000 lifetime maximum.