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

Remote, USA Full-time
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 ByteDance is a technology company that develops content creation platforms and services. It was founded in 2012, and is headquartered in Beijing, Beijing, CHN, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship ByteDance has a track record of offering H1B sponsorships, with 1350 in 2025, 1123 in 2024, 775 in 2023, 487 in 2022, 417 in 2021, 245 in 2020. Please note that this does not guarantee sponsorship for this specific role.
Apply Now

Similar Jobs

Wealth Management Associate

Remote, USA Full-time

[Remote] Retirement Plan Specialist I (Financial Advisor) (Remote)

Remote, USA Full-time

Claims Coordinator (Property & Casualty)

Remote, USA Full-time

[Remote] Licensed Inside Sales Representative (Remote - Home Based Work)

Remote, USA Full-time

Security Ops Analyst I

Remote, USA Full-time

Product & Retail Marketing Coordinator (Temp)

Remote, USA Full-time

[Remote] Research Scientist Intern (AI Infrastructure)- 2026 Start (PhD)

Remote, USA Full-time

Biostatistics Intern

Remote, USA Full-time

[Remote] Medical Writing Intern, Medical Communications

Remote, USA Full-time

Artificial Intelligence Analyst Intern

Remote, USA Full-time

Licensed Property & Casualty Insurance Agent - Remote USA

Remote, USA Full-time

Tax Preparer NO EXPERINCE NEEDED

Remote, USA Full-time

**Experienced Full Stack Customer Care Specialist – Travel Package Concierge**

Remote, USA Full-time

Experienced Remote Live Chat Customer Support Agent - Delivering Exceptional Client Experiences in Real Estate and Beyond

Remote, USA Full-time

Sales Development Representative (US-Based AI Startup)

Remote, USA Full-time

Experienced Remote Customer Service Representative for Recent Ultimate Medical Academy Graduates - Delivering Exceptional Client Experiences and Driving Business Growth through Innovative Solutions and Tech-Powered Innovation

Remote, USA Full-time

**Experienced Full Stack Data Entry Specialist – Remote Opportunity for Career Growth at blithequark**

Remote, USA Full-time

Video Editors

Remote, USA Full-time

Training Content Manager

Remote, USA Full-time

Experienced Live Chat Support Representative – Delivering Exceptional Customer Experiences through Timely and Professional Assistance

Remote, USA Full-time
Back to Home