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

ByteDance
Singapore
Workplace: OnsiteFull timeFunction: Supply Chain & LogisticsEducation: phdSkills: ["Exploration spirit","Data analysis","Initiative","Teamwork","Communication"]

Develop deep learning and operations research models to improve global e-commerce supply chain and logistics, including ETA and logistics event prediction. Build logistics knowledge graphs and spatio-temporal package trajectory models, and use NLP/LLM for address verification and suggestion. Apply time-series forecasting for manpower and demand. Create merchant/merchandise algorithm systems and optimize traffic, conversion, pricing, and subsidy strategies using e-commerce big data.

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FursaFursa
ByteDance
ByteDance
1 month ago

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

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Source: Company careers pageValidated by: Fursa AI
Last checked: 31 days agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Develop deep learning and operations research models to improve global e-commerce supply chain and logistics, including ETA and logistics event prediction. Build logistics knowledge graphs and spatio-temporal package trajectory models, and use NLP/LLM for address verification and suggestion. Apply time-series forecasting for manpower and demand. Create merchant/merchandise algorithm systems and optimize traffic, conversion, pricing, and subsidy strategies using e-commerce big data.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Supply Chain & Logistics
Seniority: Graduate level

Key Responsibilities

  • •Develop deep learning and operations research models and intelligent systems for global e-commerce supply chain and logistics.
  • •Predict end-to-end ETA and logistics events (e.g., failed delivery, delivered but not received) using e-commerce big data and deep learning.
  • •Build logistics network knowledge graphs and predict spatio-temporal package trajectory sequences using deep learning and statistical inference.
  • •Perform time-series forecasting for sales at different granularities (e.g., warehouse manpower and inventory demand forecasting).
  • •Develop merchant/merchandise algorithm systems and use machine learning to optimize traffic/conversion, pricing/subsidy strategy, and merchandise growth within cost/profit targets.

Key Requirements

  • •Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • •Proficient in machine learning and statistics, including classification, regression, and clustering, with practical application experience.
  • •Proficient in programming with Python and/or Java, and experience with at least one machine learning/deep learning framework such as TensorFlow or PyTorch.
  • •Experience developing deep learning and operations research models for supply chain/logistics problems.
  • •Preferred: published research papers in top conferences or participation in data mining/machine learning competitions.
Education:PhD / Doctorate in Software Development, Computer Science, Computer Engineering (or related technical discipline)
Skills:Exploration spiritData analysisInitiativeTeamworkCommunication
Tech Stack:PythonJavaTensorFlowPyTorchLLMNLPKnowledge graphsDeep learningTime series forecasting

Company Brief

ByteDance
Develops consumer internet and content platforms, including TikTok and other apps for short-form video, news, and entertainment. It also builds advertising, commerce, and creator tools that connect audiences, brands, and publishers across global markets.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Beijing, China
Founded: 2012
WebsiteLinkedIn