ByteDance
Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics)- 2026 S
ByteDance, San Jose, California, United States
Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics) – 2026 Start (BS/MS)
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 logistics events such as failed delivery or 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 and inventory‑level demand forecasting. Strong machine learning and deep learning skills are required to detect important factors and model relationships between future and historical data.
Participate in the growth of e‑commerce merchants/creators, responsible for the growth algorithm of e‑commerce merchants/creators, including potential merchants/creators mining, tiering, out‑reach, growth, and related algorithms. Work closely with operations and product teams to achieve high‑quality growth goals.
Combine massive e‑commerce information with data mining and machine learning to 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 product growth, cost optimization, and other scenarios.
Minimum Qualifications:
Bachelor's degree or above in artificial intelligence, computer science, operations research, automation, statistics, mathematics, or related disciplines, with experience in data mining and deep learning.
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 or Java, possessing excellent coding abilities, and familiar with at least one common machine learning/deep learning framework (TensorFlow, PyTorch, etc.).
Demonstrates a spirit of exploration, outstanding data analysis capabilities, strong initiative, and excellent teamwork and communication skills.
Preferred Qualifications:
Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
Internship 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 participation in data mining/machine learning competitions.
Job Information – Compensation:
The base salary range for this position in the selected city is $118,657 – $187,200 annually. Compensation may vary outside of this range depending on qualifications, skills, competencies, experience, and location. Base pay is one part of the total package and may be eligible for additional discretionary bonuses, incentives, and restricted stock units.
Benefits may vary by employment nature and country. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, well‑being benefits, 10 paid holidays per year, 10 paid sick days per year, and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The company reserves the right to modify or change these benefits at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues.
Appropriately handling and managing confidential information, including proprietary and trade secret information and access to information technology systems.
Exercising sound judgment.
About Us:
Founded in 2012, ByteDance’s mission is to inspire creativity and enrich life. With a suite of more than a dozen products—including TikTok, Lemon8, CapCut, Pico, Toutiao, Douyin, and Xigua—ByteDance makes it easier and more fun for people to connect, consume, and create content.
Diversity & Inclusion:
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We celebrate diverse voices and create an environment that reflects the many communities we reach.
Reasonable Accommodation:
ByteDance is committed to providing reasonable accommodations in its recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other protected reasons. If you need assistance or a reasonable accommodation, please reach out at https://tinyurl.com/RA-request.
Seniority level:
Internship
Employment type:
Full‑time
Job function:
Engineering and Information Technology
Industries:
Software Development
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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 logistics events such as failed delivery or 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 and inventory‑level demand forecasting. Strong machine learning and deep learning skills are required to detect important factors and model relationships between future and historical data.
Participate in the growth of e‑commerce merchants/creators, responsible for the growth algorithm of e‑commerce merchants/creators, including potential merchants/creators mining, tiering, out‑reach, growth, and related algorithms. Work closely with operations and product teams to achieve high‑quality growth goals.
Combine massive e‑commerce information with data mining and machine learning to 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 product growth, cost optimization, and other scenarios.
Minimum Qualifications:
Bachelor's degree or above in artificial intelligence, computer science, operations research, automation, statistics, mathematics, or related disciplines, with experience in data mining and deep learning.
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 or Java, possessing excellent coding abilities, and familiar with at least one common machine learning/deep learning framework (TensorFlow, PyTorch, etc.).
Demonstrates a spirit of exploration, outstanding data analysis capabilities, strong initiative, and excellent teamwork and communication skills.
Preferred Qualifications:
Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications.
Internship 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 participation in data mining/machine learning competitions.
Job Information – Compensation:
The base salary range for this position in the selected city is $118,657 – $187,200 annually. Compensation may vary outside of this range depending on qualifications, skills, competencies, experience, and location. Base pay is one part of the total package and may be eligible for additional discretionary bonuses, incentives, and restricted stock units.
Benefits may vary by employment nature and country. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short‑term and long‑term disability coverage, life insurance, well‑being benefits, 10 paid holidays per year, 10 paid sick days per year, and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The company reserves the right to modify or change these benefits at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues.
Appropriately handling and managing confidential information, including proprietary and trade secret information and access to information technology systems.
Exercising sound judgment.
About Us:
Founded in 2012, ByteDance’s mission is to inspire creativity and enrich life. With a suite of more than a dozen products—including TikTok, Lemon8, CapCut, Pico, Toutiao, Douyin, and Xigua—ByteDance makes it easier and more fun for people to connect, consume, and create content.
Diversity & Inclusion:
ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We celebrate diverse voices and create an environment that reflects the many communities we reach.
Reasonable Accommodation:
ByteDance is committed to providing reasonable accommodations in its recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other protected reasons. If you need assistance or a reasonable accommodation, please reach out at https://tinyurl.com/RA-request.
Seniority level:
Internship
Employment type:
Full‑time
Job function:
Engineering and Information Technology
Industries:
Software Development
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