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

Singapore

Full-time

13/08 — 27/08/2025

Job Description

To apply for this job, you need to complete both steps below:
STEP 1:
Please click the link to submit your application directly to the company:
Machine Learning Engineer Graduate (TikTok Shop - Data Intelligence) - 2026 Start (BS/MS)
Your application will only be received by Recruiter if submitted via above link.

STEP 2:
Kindly scroll to the bottom of this page and complete the short VinUni Tracking Form.
Filling out this form alone does not count as applying. Kindly remind this form is not part of the company's application process. It only helps Careers, Alumni, Industry and Development (CAID) Department discover more opportunities and follow up in case of system issues.

 

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.
  • 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

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Application form

Full Name *
Email Address *
College  *
VinUni Email  *
Your Resume *
To attach your Resume, click here to upload from your Computer.
Security code *

Submit