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Urgent! Algorithm Engineer-Supply Chain and Logistics, TikTok Global E-Commerce - 2025 Start Job Opening In Singapore, Singapore – Now Hiring TikTok

Algorithm Engineer Supply Chain and Logistics, TikTok Global E Commerce 2025 Start



Job description

Algorithm Engineer-Supply Chain and Logistics, TikTok Global E-Commerce - 2025 Start
Join to apply for the
Algorithm Engineer-Supply Chain and Logistics, TikTok Global E-Commerce - 2025 Start
role at
TikTok .


TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa.


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.

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.


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.


Participate in the growth of e-commerce merchants/creators, responsible for the growth algorithm of e-commerce merchants/creators, including potential merchants/creators mining algorithm, tiering algorithm, out-reach algorithm, growth algorithm, etc.

Work closely with e-commerce merchants/creators related operations and product teams to achieve the high-quality growth goal of e-commerce merchants/creators.


Combined with massive e-commerce information, through data mining and machine learning, predict the performance of products in traffic/conversion, improve the efficiency of product operation strategy and pricing/subsidy strategy, and assist in optimizing traffic distribution, to satisfy the requirements of product growth, cost optimization and some other scenarios.


Qualifications
Minimum Qualifications
Final year or recent graduate with a background 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
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, 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.

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.


TikTok is an equal opportunities employer and welcomes applications from all qualified individuals.

We are committed to providing a workplace that is free from discrimination and harassment, and where all employees are treated with dignity and respect.


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