[Remote] Machine Learning Engineer Intern (E-commerce-Supply Chain & Logistics) - 2026 Start (PhD)

Note: The job is a remote job and is open to candidates in USA. ByteDance is a company dedicated to inspiring creativity and enriching life. They are seeking a Machine Learning Engineer Intern to contribute to the E-commerce Global Supply Chain and Logistics team, focusing on the development of intelligent systems and deep learning models to enhance logistics operations and improve user experiences.

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

Skills

• Currently pursuing a PhD degree in fields such as artificial intelligence, computer science, operations research, automation, statistics, mathematics, or related disciplines, with experience in data mining and deep learning
• Experience 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
• Experience 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.)
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment; Able to commit to working for 12 weeks starting May 2025
• Graduating December 2025 onwards with intent to return to degree-program after the completion of the internship
• Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
• Internship experience or research experience, especially in e-commerce, supply chain, logistics, and transportation
• Published papers at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RecSys, or having participated in data mining/machine learning competitions

Benefits

• Day one access to health insurance
• Life insurance
• Wellbeing benefits
• 10 paid holidays per year
• Paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year)
• Housing allowance

Company Overview

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