Job Description

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 deploy machine learning models, including recommendation, ranking, and personalization systems to deliver relevant and engaging content to application users.

Leverage large-scale user behavior data, representation learning, and experimentation frameworks to continuously optimize recommendations, improve user retention, and enhance user experience across the platform.

Formulate real-world user data modeling in statistical learning problems.

Research and design ML models to optimize systems, features, algorithms, and product strategies.

Design and execute user procedure experiments, tests, and significance analyses by applying statistical test theories to optimize user experience.

Collaborate with product and operations teams to experiment with and refine ML models across various products, gaining insights into how ML can optimize different areas.

Mentor junior Machine Learning Engineers and interns.