LLM Machine Learning Engineer Intern (Global E-Commerce, Supply Chain and Logistics) - 2027 Start

TikTok; Singapore; On-site; SGD 18,000 - 29,000; Part time

Job summary

TikTok is seeking an LLM Machine Learning Engineer Intern to join the Global E‑Commerce, Supply Chain and Logistics team for a 2027 start. You will build models to optimize fulfillment, predict ETA, and support merchant growth while applying DL, NLP, and operations research techniques across multiple regions.

You will work with data scientists and engineers to develop knowledge graphs, forecast demand, and improve pricing and inventory readiness for a fast-growing global platform.

Qualifications

• Pursuing an undergraduate or master's degree in a software/CS-related technical field.
• Proficient in ML and statistics with practical experience in ML/DL models.
• Strong programming skills in Python or Java and familiarity with ML frameworks.

Responsibilities

• Develop deep learning and OR models for global e-commerce supply chain and logistics.
• Use big data and DL to predict ETA and logistics events to improve user experience.
• Build logistics network knowledge graphs and forecast spatio-temporal trajectories.
• Apply NLP/LLM methods to address address verification and suggestions.
• Forecast sales and inventory needs using time-series methods and ML.

Skills

ML & statistics

Python/Java coding

ML frameworks (TensorFlow/PyTorch)

Education

Undergraduate or Master's in CS/Software Engineering/ related field

Job description

Discover a career that energizes and excites you every day.

@2026 TikTok

Technology

LLM Machine Learning Engineer Intern (Global E-Commerce, Supply Chain and Logistics) - 2027 Start

Location:

Employment Type:

Intern

Job Code:

A169234A

Responsibilities

About the TeamOur mission is to optimize the variety & cost‑saving of assortments and the speed & quality of fulfillment to ensure the user experience of global e‑commerce services.- Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and operation research methods.- Create supply chain's data portrait and knowledge graph in various dimensions such as vendors, commodity, place of origin, inventory, production capacity and quality of fulfillment, etc. Predict user needs in different countries and regions, guide inventory preparation and fulfillment, and implement effective pricing. From a comprehensive B-C perspective, optimize platform efficiency and enhance user experience through diverse supply chain collaboration means.- Optimize merchant/merchandise supply. Mine high‑quality global merchant leads, establish outreach and conversion mechanism to drive merchant growth, and provide continuous incubation and support after merchant onboard. Track international e‑commerce trends and TT content trends, identify best‑selling product leads and improve the supply of high‑quality and affordable goods. Collaborate with the supply chain system to build systematic product growth and operation capabilities.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.

• 1. Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business.
• 2. Utilize e-commerce big data and deep learning models to predict end‑to‑end estimated time of arrival (ETA), and some logistics events such as failed delivery, delivered but not received to enhance the user logistics experience. Build logistics network knowledge graphs and predict the spatio‑temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. Use NLP and LLM algorithms to handle address problems such as address verification and address suggestion.
• 3. Utilize time series forecasting techniques to predict sales at different granularities and horizons, such as warehouse‑level manpower forecasting, inventory‑level demand forecasting etc. We need strong machine learning and deep learning skills to detect important factors and model the relationship between the future and history.
• 4. Participate in the development of merchant and merchanise related algorithm systems including potential merchants mining, tiering and outreach, seller growth diagnosis and seller mission recommendation system, etc. Work closely with e-commerce supply related operation teams and product teams to achieve the growth goal of e-commerce business.
• 5. Based on the massive e-commerce related information mined from different resources, predict the traffic/conversion performance of merchandises using different kinds of machine learning methods, improve the efficiency of merchandise operation strategy and pricing/subsidy strategy, and assist in optimizing traffic distribution. And finally achieve the goal of merchandise growth under certain cost/profit target at the same time.

Qualifications

Minimum Qualifications

• Currently Pursuing a Undergraduate or Master's degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Proficient in machine learning and statistics, familiar with the principles and model structures of common machine learning and deep learning algorithms for classification, regression, and clustering, with practical application experience.
• Proficient in programming languages such as Python/Java, possessing excellent coding abilities, and familiar with at least one common machine learning/deep learning framework (TensorFlow/PyTorch etc.).

Preferred Qualifications

• Frontier AI Technologies: hands on experience applying LLM and AI Agents in business scenarios is preferred
• Demonstrates a spirit of exploration, outstanding data analysis capabilities, strong initiative, and excellent teamwork and communication skills.
• Bonus points for having published papers at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RecSys, or having participated in data mining/machine learning competitions.

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.