Machine Learning Engineer Intern (Global E-Commerce, User Growth) - 2027 Start

TikTok; Singapore; On-site; SGD 17,000 - 26,000; Part time

Job summary

TikTok is offering an internship in Singapore with the User Growth Algorithm Team focused on promotion algorithms and global budget optimization. You will influence monetization and user growth through data-driven approaches on a massive scale.

The role emphasizes hands-on work on subsidy mechanisms, real-time pricing, and cross-functional collaboration. Applicants should be pursuing an undergraduate or master's degree in a technical field with strong ML knowledge.

Qualifications

• Pursuing an undergraduate or master's degree in Software Development, Computer Science, Computer Engineering, or related technical field.
• Strong expertise in ML and DL with familiarity in models for recommender systems, advertising, search, or marketing.
• Hands-on experience in uplift modeling, OR optimization, or large-scale ML applications.

Responsibilities

• Model user demand elasticity and coupon values to optimize budget allocation for GMV and conversions.
• Design globally optimal allocation and pricing algorithms using elasticity and OR techniques.
• Integrate real-time voucher capabilities into recommendation pipelines across video, live streaming, and marketplace.

Skills

Machine learning

Deep learning

Recommendation

Advertising algorithms

Uplift modeling

Causal inference

Operations research

LLMs

AI Agents

Education

Undergraduate or Master's in CS/SE

Related technical discipline

Job description

Responsibilities

About the Team

We are the User Growth Algorithm Team for Global E-Commerce - the core engine driving the explosive growth of TikTok's global e-commerce business. Here, we go beyond solving conventional recommendation and user reach problems; we are committed to reshaping the shopping experience of global consumers through cutting-edge promotion algorithms.

As the Promotion Algorithm Team, we command massive budgets and enormous traffic flows. Through state-of-the-art algorithmic modeling and operations research optimization, we strive to achieve globally optimal ROI in budget allocation - directly driving scaled growth in overall MAC (Monthly Active Customers) and GMV.

Here, every line of code you create will influence the purchasing decisions of tens of millions of users worldwide, and every model iteration will unlock tremendous business value. By joining us, you will have the opportunity to build on the unique ecosystem that fuses content with e-commerce to solve rare industry challenges in the joint optimization of 'content recommendation + real-time subsidies'.

We are looking for talented individuals to join us for an internship. Our internship program offers students hands-on experience, industry exposure, and opportunities to apply their knowledge to real-world challenges while building a strong foundation for personal and professional growth.

Interns will gain practical experience, explore potential career paths, and participate in social events, learning programs, and development workshops alongside industry professionals.

Candidates may apply to a maximum of two positions across Our Company and its affiliates globally. Applications will be considered in the order they are submitted.

Applications are reviewed on a rolling basis, so we encourage you to apply early. Please clearly state your availability in your resume, including your start and end dates.

Responsibilities

• Precision Subsidies & Intelligent Pricing: Model user demand elasticity across products and coupon values, combined with operations research optimization to solve for optimal budget allocation under strict constraints - maximizing GMV and conversion rate.
• Intelligent Global Budget Optimization (Operations Research & Game Theory): Design globally optimal allocation and pricing algorithms based on elasticity modeling, enabling large-scale budgets to flow precisely across billions of users, massive product catalogs, and diverse scenarios for optimal budget efficiency.
• Deep Synergy Between Traffic and Marketing (Vouchers x Traffic): Integrate real-time item-wise voucher capabilities into recommendation pipelines across short videos, live streaming, and marketplace. Break down barriers between marketing and recommendation to enable joint 'traffic + subsidy' decision-making and global optimization.
• Next-Gen Marketing Tech: Go beyond traditional discriminative uplift prediction. Research and productionize cutting-edge causal inference and AI technologies - including Uplift Modeling, E2E Modeling, RL, LLMs, and AI Agents - to directly address user conversion and repeat purchase behavior.

Qualifications

Minimum Qualifications

• Currently Pursuing a Undergraduate or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Strong expertise in machine learning and deep learning, with familiarity in commonly used models for recommendation, advertising, search, or marketing.
• Hands-on experience and deep understanding in at least one of the following areas:
• Causal Inference / Uplift Modeling: Familiarity with various uplift modeling approaches; candidates with industrial deployment experience are preferred.
• Operations Research Optimization: Familiarity with linear programming, integer programming, dynamic programming, MCKP, etc.; experience in budget allocation or pricing algorithms is preferred.
• Search, Recommendation & Advertising Algorithms: Experience with large-scale CTR/CVR estimation, multi-objective optimization, or real-world reinforcement learning applications is preferred.
• Frontier AI Technologies: Experience applying LLMs, AI Agents, or Generative Recommendation in business scenarios is preferred.
• Excellent business acumen and logical thinking, with the ability to translate complex business problems into mathematical or algorithmic models and drive them into production.

Preferred Qualification

• Publications in top-tier venues such as KDD, NeurIPS, ICML, IJCAI, or AAAI, or outstanding results in data mining competitions such as Kaggle, will be a strong plus.

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,