Algorithm Engineer Graduate (TikTok Shop Global E-Commerce, Supply Chain and Logistics) - 2026 [...]

TikTok

Singapore

On-site

SGD 90,000 - 120,000

Full time

14 days+
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Job summary

A leading global e-commerce platform in Singapore is seeking a final year PhD graduate for the Algorithm Engineer Graduate role. This position focuses on optimizing supply chain operations using machine learning and data analysis. Candidates must have strong programming skills in Python or Java, along with knowledge of machine learning frameworks. This role offers an opportunity to work on innovative projects within an inclusive environment.

Qualifications

  • Final year PhD graduates in Computer Science, engineering or quantitative field.
  • Proficient in machine learning and statistics.
  • Excellent coding abilities in Python/Java.

Responsibilities

  • Build global logistic and warehousing network.
  • Utilize big data to enhance user logistics experience.
  • Participate in development of merchant algorithm systems.
  • Develop DL and OR models for the supply chain and logistics of the global E-Commerce business.
  • Predict end-to-end ETA and logistics events to improve user experience.
  • Forecast sales with time-series techniques for various horizons.
  • Develop merchant-related algorithm systems including outreach and seller recommendations.

Skills

Machine learning
Statistics
Data analysis
Teamwork
Communication

Education

PhD in Computer Science or engineering

Tools

Python
Java
TensorFlow
PyTorch

Job description

Algorithm Engineer Graduate (TikTok Shop Global E-Commerce, Supply Chain and Logistics) - 2026 Start (PhD)

Join to apply for the Algorithm Engineer Graduate (TikTok Shop Global E-Commerce, Supply Chain and Logistics) - 2026 Start (PhD) role at TikTok

Our 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.

Responsibilities

  • 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.
  • 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.

Responsibilities

  • 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.
  • 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.
  • Utilize time series forecasting techniques to predict sales at different granularities and horizons, such as warehouse-level manpower forecasting, inventory-level demand forecasting etc.
  • 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.

Qualifications

Minimum Qualifications

  • Final year PhD graduates in Computer Science, engineering or quantitative field.
  • 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

  • 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.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.

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