Join us as we inspire
creativity and bring joy to
millions of users worldwide.
@2026 TikTok
Responsibilities
About the Team The E-commerce After-sales Algorithm Team is dedicated to building intelligent, fair, and efficient post-purchase service systems. We leverage advanced AI technologies to improve refund and return processing, dispute resolution, merchant responsibility attribution, customer service automation, and overall buyer experience. We focus on balancing user experience, merchant ecosystem health, and platform risk control, ensuring sustainable e-commerce growth. Responsibilities - Develop and optimize machine learning / deep learning models for after-sales scenarios such as refunds, returns, cancellations, disputes, and compensation. - Build intelligent decision-making systems for responsibility attribution and dispute resolution between buyers and sellers. - Develop NLP and multimodal models to analyze customer service conversations, complaint texts, product descriptions, and evidence materials. - Build predictive models to proactively identify high-risk transactions and reduce after-sales disputes. - Optimize real-time and offline feature engineering pipelines for large-scale transactional and behavioral data. - Design and run A/B experiments to improve resolution efficiency, fairness, and user satisfaction. - Collaborate closely with product, operations, and engineering teams to translate algorithmic capabilities into scalable production systems.
Qualifications
Minimum Qualifications - Bachelor’s degree or above in Computer Science, Statistics, Mathematics, or related fields. - At least 1 year of experience in machine learning, recommendation systems, risk control, or related algorithm domains. - Solid understanding of machine learning and deep learning fundamentals, with hands-on project experience. - Experience in one or more of the following areas: Data Mining, NLP, Graph Learning, Risk Modeling. - Proficient in Python and familiar with at least one of Go/C++ under Linux development environment. - Strong analytical thinking and problem-solving skills, with a data-driven mindset. - Good communication skills and strong teamwork spirit. Preferred Qualifications - Experience in e-commerce after-sales, payment risk control, fraud detection, or customer service intelligence. - Experience designing responsibility attribution or decision systems under fairness constraints. - Experience deploying the LLM-based responsibility attribution agent. - Publications in top conferences (e.g., KDD, WWW, NeurIPS, ACL) or awards in international competitions.
Job Information
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is 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 bring joy - a mission we work towards every day.
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. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. 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.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.