Join to apply for the Machine Learning Engineer – E-Commerce Logistics, New Grad role at Jobright.ai 1 day ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer – E-Commerce Logistics, New Grad role at Jobright.ai ByteDance is seeking brilliant and motivated graduate software engineers to join their E-commerce Global Supply Chain and Logistics team at TikTok. The role involves applying machine learning, operations research, and data mining to enhance the shopping experience and optimize logistics operations. 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. Qualifications: Required: • Master's or 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. • 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/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: • 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. Company: ByteDance is a technology company that develops content creation platforms and services. Founded in 2012, the company is headquartered in Beijing, Beijing, CHN, with a team of 10001+ employees. The company is currently Late Stage. ByteDance has a track record of offering H1B sponsorships. 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