Tiktok - Seattle, WA
posted 3 months ago
TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. We are seeking a highly skilled and motivated Machine Learning Engineer focused on demand forecasting to join our dynamic and fast-paced Global E-Commerce Supply Chain and Logistics team. This team is dedicated to enhancing clients' shopping experience and reducing operational costs by developing end-to-end algorithm capabilities using machine learning, operations research, data mining, and causal inference methods. As a Machine Learning Engineer, you will contribute to the development and implementation of cutting-edge machine learning models and algorithms to optimize inventory management, supply chain efficiency, and enhance the overall customer experience. In this role, you will collaborate with cross-functional teams including data scientists, engineers, product managers, and business stakeholders to develop innovative solutions that accurately forecast demand patterns and optimize inventory planning. You will be responsible for developing and implementing end-to-end machine learning models and algorithms for demand forecasting, collecting and preprocessing large-scale data sets, conducting exploratory data analysis, building scalable data pipelines, and evaluating the performance of existing forecasting models. Additionally, you will monitor model performance, communicate findings to stakeholders, and stay updated with the latest advancements in machine learning and demand forecasting techniques. The ideal candidate will have a Master's or advanced degree in Computer Science, Machine Learning, Statistics, or a related field, along with proven experience as a Machine Learning Engineer or Data Scientist, particularly in demand forecasting and supply chain optimization. Strong proficiency in machine learning techniques, familiarity with big data processing on cloud platforms, and excellent communication skills are essential for success in this role. Experience in the e-commerce, logistics, or supply chain domain is a plus.