Senior Machine Learning Engineer - E-Commerce Supply Chain & Logistics (Multiple Positions)

About ByteDance Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content. Why Join Us Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day. As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us. About the Team Our team plays a crucial role in ensuring the company’s success. We seek people who are willing to learn and put in the effort to solve problems. Our challenges are not your regular day-to-day problems - you’ll be part of a team that’s developing new solutions to new challenges. It’s working fast, at scale, and we’re making a difference. We are looking for talents to join us on this exciting journey! Responsibilities Work across the full machine learning (ML) modeling lifecycle, including data preparation, feature engineering, hyperparameter tuning and evaluation, and model selection to develop, build, and optimize the performance of large and highly scalable ML systems, algorithms, strategies, models and infrastructures. Formulate real-world user data modeling in statistical learning problems. Design and execute user procedure experiments, tests, and significance analyses by applying statistical test theories to optimize the supply chain and logistics network performance. Utilize time series forecasting techniques to forecast variables including sales, warehousing-level manpower, and inventory-level demand. Use big data frameworks and analytics tools to aggregate, collate, and analyze data. Research and design ML models to optimize the supply chain and logistics system. Collaborate with key stakeholders and cross-functional teams to define strategy, and to assist in driving initiatives from a ML engineering viewpoint. Mentor junior Machine Learning Engineers and interns.