About this role
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.
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
Design, develop, and optimize the advanced recommendation systems that power the global e-commerce ecosystem.
Balance user experience, ecosystem health, and business objectives through algorithmic solutions to build a healthy, sustainable e-commerce content ecosystem.
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 user experience.
Research and design ML models to optimize systems, features, algorithms, and product strategies.
Collaborate with key stakeholders and cross-functional teams to define product strategy and features, and to assist in defining products and driving initiatives from a ML engineering viewpoint.
Mentor junior Machine Learning Engineers and interns.