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

TIKTOK PTE. LTD.; Singapore; On-site; SGD 105,000 - 165,000; Full time

Job summary

TikTok is seeking talented individuals to join its AI/ML team in Singapore. You will work on advanced machine learning, graph learning, and sequence modeling to detect risks, improve e-commerce governance, and empower business teams.

As a graduate or early-career researcher, you will explore cutting-edge technologies, build scalable models, and contribute to production-grade ML systems. This role offers opportunities to impact the e-commerce ecosystem globally.

Qualifications

• Bachelor's or Master's in Software Development, Computer Science, Computer Engineering, or related technical discipline.
• Solid coding skills, familiar with deep learning/graph NN frameworks (PyTorch, TensorFlow, DGL, pyg, sklearn).
• Familiar with graph/sequence learning algorithms and representations.
• Experience building AI-Agent projects, including agent workflows and multi-agent collaboration.
• Strong ML theoretical foundation with relevant industry exposure.

Responsibilities

• Mine, identify, and predict risks and low-quality merchants, products, and creators in e-commerce contexts using algorithms.
• Build data models to improve product experience and ecosystem governance.
• Develop data for entities like e-commerce live streaming, products, merchants, and creators; support scalable ML models.
• Contribute to graph storage/learning platform to enhance relationships in the ecosystem.
• Explore cutting-edge ML/graph/sequence learning research and apply in production.

Skills

Python

Deep learning

Machine learning

Graph neural networks

Research

Education

Bachelor's degree in CS/Software or related field

Master's degree in relevant field

Tools

PyTorch

TensorFlow

DGL

pyg

scikit-learn

Job description

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.

About the Team

The team use the most advanced AI technology to combat various risks/violations in our E-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency. We pursue the ultimate risk detection capability. The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas where we are constantly striving for improvement.

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. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

1. 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.
2. 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.
3. 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.
4. Participate in building a large-scale graph storage and graph learning platform to improve relationship building and governance within the e-commerce community.
5. 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

1. 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.
2. Solid coding skills, familiar with deep learning/graph neural network/machine learning frameworks such as PyTorch, TensorFlow, DGL, pyg, sklearn, etc.
3. 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.
4. Experience building or contributing to AI-Agent projects, including agent workflow design, tool/function calling, multi-agent collaboration, or LLM-based application development.
5. Relevant industry experience with solid theoretical foundation of machine learning.

Preferred Qualifications

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