Machine Learning Engineer Graduate (Global E-Commerce, Platform Governance) - 2027 Start

TikTok; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TikTok in Singapore is seeking a talented software/ML engineer to advance risk analytics, graph-based models, and scalable AI systems for e-commerce and content governance.

You will work with PyTorch, TensorFlow, and graph learning frameworks to build data models, contribute to live systems, and explore cutting-edge techniques.

Join a global team solving real-world challenges and shaping the platform's safety and user experience.

Qualifications

• Minimum degree in software or computer science with strong academic performance.
• Solid coding skills and strong mathematical foundation.
• Experience with ML/graph learning frameworks is required.

Responsibilities

• Mine, identify, and predict risks and low-quality entities in e-commerce scenarios.
• Develop data models to improve product experience and efficiency.
• Build data for e-commerce live streaming, products, merchants, and creators.
• Contribute to large-scale graph storage and governance.
• Explore ML/graph/sequence learning tech and apply to production models.

Skills

Strong coding skills

Teamwork and communication

ML fundamentals

Education

Bachelor's or Master's in Computer Science/Software Engineering

Tools

PyTorch

TensorFlow

DGL

pyg

scikit-learn

Hive

Spark

Hadoop

Job description

Discover a career that energizes and excites you every day.

@2026 TikTok

Technology

Location:

Employment Type:

Regular

Job Code:

A69145A

Share this listing:

Responsibilities

• Responsible for using algorithms to mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce scenarios, and assist businesses in managing and controlling them.
• Responsible for using algorithms to identify events and behaviors that affect product experience and efficiency, and building data models to help create a favorable ecosystem and support business operations.
• Participate in building data for various entities such as e-commerce live streaming/video, products, merchants, and creators, building large-scale network/feature sequence models to support business scenarios such as content understanding, multimodal representation, community mining, and solve problems related to products, live streaming, and video management, and provide support for them.
• Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the e-commerce community.
• Explore and research cutting-edge technologies in machine learning/graph learning/sequence learning and related fields, implement these technologies in practical business scenarios, and support the production of scalable and optimised machine learning models.

Qualifications

Minimum Qualifications

• Individuals who are completing or have recently completed a Bachelor's degree or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Solid coding skills, familiar with deep learning/graph neural network/machine learning frameworks such as PyTorch, TensorFlow, DGL, pyg, sklearn, etc.
• Familiar with one or more algorithms in machine learning/graph learning/sequence learning, such as graph modeling, timing signal modeling, node/subgraph classification, community mining, representation learning, self-supervised/semi-supervised learning, with a certain depth and breadth.
• Experience building or contributing to AI-Agent projects, including agent workflow design, tool/function calling, multi-agent collaboration, or LLM-based application development.
• Relevant industry experience with solid theoretical foundation of machine learning.

Preferred Qualifications

• Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred.
• Published papers in high-level computer science conferences (ACL, EMNLP, NIPS, AAAI, etc.) or have competition experience are preferred.
• Familiar with the application of related algorithms in data mining, search recommendation, content understanding, and governance risk control preferred.
• Skilled in numpy and pandas for modeling experiments, familiar with big data tools such as Hive, Spark, Hadoop preferred.

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.