Machine Learning Engineer Graduate (TikTok Shop - SEA) - 2027 Start

TikTok; Singapore; On-site; SGD 100,000 - 170,000; Full time

Job summary

TikTok Shop is seeking a data-driven professional to build data-empowered capabilities for our e-commerce platform. You will extract insights from large volumes of data and design mining pipelines to support multiple verticals.

You will apply ML techniques to improve data asset quality and enable scalable analytics across a globally distributed team, helping merchants grow with affordable, high-quality products.

Qualifications

• Bachelor’s or Master’s in Computer Science, Software Engineering, or related discipline.
• Familiarity with common statistical machine learning model algorithms and deep learning principles.
• Proficient in Python/Java/Go/C++ and data structures/algorithms; demonstrated coding ability.
• Strong problem analysis and independent research skills; good teamwork.

Responsibilities

• Develop data-empowered capabilities for the e-commerce platform and enable verticals to extract insights from data.
• Build data mining pipelines to extract data assets and enable actionable insights from large data volumes.
• Design and apply machine learning strategies to improve data asset accuracy and coverage.
• Translate business problems into data requirements and implement solutions.

Skills

Programming languages (Python/Java/Go\

Statistical ML models

Problem solving

Education

Bachelor’s/Master’s in CS/SE/related

Job description

Discover a career that energizes and excites you every day.

@2026 TikTok

About the team

TikTok Shop is a content e-Commerce business with international short video product as the carrier. It is committed to becoming the first choice for users to discover and purchase good products with affordable prices. TikTok Shop hopes to provide users with more tailored and efficient consumption experience, enabling merchants to receive reliable platform services in different scenarios such as live e-commerce, short video content e-commerce, so as to make more affordable and high-quality products sell easily and a better life within reach. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. 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 our Company and its affiliates' jobs globally. Candidates who pass resume screening will be invited to participate in Our Company'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

• Individuals who are completing or have recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, or a related 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.

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.