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ByteDance is seeking a graduate Algorithm Engineer for their Global E-Commerce, Supply Chain, and Logistics team, with a start date in 2026. The role focuses on developing machine learning and deep learning models to enhance operations and user experience in e-commerce logistics.
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Job Summary
The role involves building global logistic networks and optimizing fulfillment speed using machine learning and operations research methods.
Candidates will utilize deep learning to predict end-to-end estimated time of arrival and handle address verification using NLP and LLM algorithms.
ByteDance offers competitive compensation, stock options, flexible hours, and a flat organization structure focused on inspiring creativity.
Matching Summary
Match Score: 75
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ByteDance is seeking a graduate Algorithm Engineer for their Global E-Commerce, Supply Chain, and Logistics team, with a start date in 2026. The role focuses on developing machine learning and deep learning models to enhance operations and user experience in e-commerce logistics.
**
Salary
Competitive compensation; Stock options included; Benefits include yoga, fitness, paid leave, and flexible hours
Skills & Requirements
Must-have
PhD in Computer Science or related field
Proficient in Python and Java programming
Experience with TensorFlow or PyTorch frameworks
Deep learning model development skills
Operations research methodology expertise
Nice-to-have
Published papers at KDD or NeurIPS conferences
Participation in data mining competitions
Strong initiative and exploration spirit
Excellent teamwork and communication skills
Key Requirements
Must be completing or recently completed PhD degree