ByteDance · 3 days ago
Machine Learning Engineer Intern (E-commerce-Supply Chain & Logistics) - 2026 Start (PhD)
ByteDance is a company focused on inspiring creativity and enriching life through its innovative products. They are seeking a motivated graduate software engineer intern to contribute to their E-commerce Global Supply Chain and Logistics team, applying machine learning and data mining to enhance logistics operations and the shopping experience.
ContentData MiningInternetSocial Media
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
Qualification
Required
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.)
Preferred
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
Interns have day one access to health insurance
Life insurance
Wellbeing benefits and more
Interns also receive 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)
Interns who are not working 100% remote may also be eligible for housing allowance.
Company
ByteDance
ByteDance is a technology company that develops content creation platforms and services.
H1B Sponsorship
ByteDance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1350)
2024 (1123)
2023 (775)
2022 (487)
2021 (417)
2020 (245)
Funding
Current Stage
Late StageTotal Funding
$9.8BKey Investors
Capital TodayG42Tiger Global Management
2025-11-20Secondary Market· $300M
2024-07-25Secondary Market
2023-03-14Secondary Market· $100M
Leadership Team
Recent News
2026-01-07
South China Morning Post
2026-01-07
Company data provided by crunchbase