Machine Learning Engineer, Pricing - TikTok E-commerce Global Supply Chain and Logistics

The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are currently looking for talented software engineers that have 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.

You'll work on:

• Build global logistic and warehousing network, improve operations efficiency and reduce operational cost with data analysis, machine learning and opeartion research methods.
• Create supply chain's data portrait and knowledge graph in various dimensions such as vendors, commodity, place of origin, inventory, production capacity and quality of fulfillment, etc. Establish data-driven control-adjustment methods that enhance operational outcomes and user experience.
• Highlight global e-commerce trends to optimize e-commerce commodity supplies, forecast commodity demand, recommend vendor stocking and enhance production capacity. Role and Responsibilities: -Responsible for designing optimization algorithm strategies for order allocation systems, able to meet diverse goals and constraints. -Responsible for estimating the probability of core decision variables in the order allocation system and building simulation capabilities, continuously improving estimation accuracy. -Responsible for the design of optimization algorithm strategies for commodity/freight pricing in multiple modes for domestic/cross-border scenarios, collaborating with upstream and downstream partners to optimize subsidy pricing and achieve the best price. -Responsible for modeling the probability estimation problems of logistics costs/benefits, price elasticity, etc., and continuously improving accuracy through machine learning and causal inference methods. -Deeply understand the e-commerce business scenario, and refine the direction of logistics operation mode optimization, logistics cost reduction, and service quality improvement through data mining; -Participate in product design, work closely with product, operations, and management teams to promote the productization and implementation of algorithm models to continuously empower business.