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

TikTok; Singapore; On-site; SGD 20,000 - 33,000; Part time

Job summary

TikTok is seeking a Machine Learning Engineer Intern to join the Global E-Commerce team in Singapore. You will work on modeling user demand, optimizing budgets, and integrating voucher-driven traffic with recommendations across video, live, and marketplace platforms.

The role emphasizes frontier AI tech, uplift modeling, and scalable algorithms to improve user conversion and repeat purchases. Candidates are pursuing undergrad or master's degrees in a technical field and have strong ML/DL skills.

Qualifications

• Pursuing undergraduate or master's degree in software development or related technical field.
• Strong expertise in machine learning and deep learning, with familiarity in recommendation/advertising/search.
• Hands-on experience in causal inference or uplift modeling or operations research or large-scale optimization or frontier AI technologies.

Responsibilities

• Model user demand elasticity and optimize budgets under constraints to maximize GMV and conversions.
• Design globally optimal budget allocation and pricing algorithms for billions of users and large catalogs.
• Integrate voucher capabilities into recommendation pipelines across videos, live streaming and marketplace for joint decision-making.
• Research and productionize advanced AI techniques (uplift modeling, RL, LLMs) to improve user conversion and repeat purchases.

Skills

Machine Learning

Deep Learning

Recommender Systems

Education

Bachelor's or Master's in CS/CE/related

Tools

Python

TensorFlow/PyTorch

Job description

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

Intern

Job Code: A219603A

Responsibilities

• 1. 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.
• 2. 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.
• 3. Deep Synergy Between Traffic and Marketing (Vouchers × 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.
• 4. 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

• 1. Currently Pursuing a Undergraduate or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• 2. Strong expertise in machine learning and deep learning, with familiarity in commonly used models for recommendation, advertising, search, or marketing.
• 3. 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.
• 4. 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 Qualification1. 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.

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.