Tiktok - Seattle, WA
posted 3 days ago
TikTok is the leading destination for short-form mobile video, and our mission is to inspire creativity and bring joy. The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational costs in TikTok E-commerce. We are currently seeking a talented Machine Learning Engineer with a deep understanding of machine learning (ML), operations research (OR), data mining, and statistical inference. This position can be fulfilled in our San Jose and Seattle offices. In this role, you will be responsible for building a global logistics and warehousing network, improving operational efficiency, and reducing operational costs through data analysis, machine learning, and operations research methods. You will create a supply chain data portrait and knowledge graph across various dimensions such as vendors, commodities, place of origin, inventory, production capacity, and quality of fulfillment. Additionally, you will establish data-driven control-adjustment methods that enhance operational outcomes and user experience. Your work will involve highlighting global e-commerce trends to optimize commodity supplies, forecast demand, recommend vendor stocking, and enhance production capacity. You will design optimization algorithm strategies for order allocation systems, estimate the probability of core decision variables, and build simulation capabilities to continuously improve estimation accuracy. Furthermore, you will collaborate with upstream and downstream partners to optimize subsidy pricing and achieve the best price for commodity/freight pricing in multiple modes for domestic and cross-border scenarios. You will also model the probability estimation problems of logistics costs/benefits and price elasticity, continuously improving accuracy through machine learning and causal inference methods. A deep understanding of the e-commerce business scenario will be essential to refine logistics operation mode optimization, reduce logistics costs, and improve service quality through data mining. Participation in product design and collaboration with product, operations, and management teams will be crucial to promote the productization and implementation of algorithm models that empower the business.