TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.
About the team!
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.
