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 TnS-Live-Algo Team
Our algorithm team is responsible for developing state-of-the-art computer vision and multimodality models and algorithms to protect our platform and users from the content and behaviors that violate community guidelines and related local regulations. With the continuous efforts from our team, TikTok Livestream is able to provide the best user experience and bring joy to everyone in the world.

Job Description
We are looking for a highly self-motivated research engineer to join our algo team. In our team, you will have the opportunity to participate in the development of the cutting-edge content understanding model to help improve the recognition ability of violated content in TikTok Livestream, and will also be responsible for optimizing our distributed model training framework continuously.

As a tech lead - machine learning engineer, you will be driving resolution for one or more trust and safety domains, such as CV, multimodality, LLM, etc. A successful candidate will have hands-on machine learning and software engineering experience. Also, you will take pride in working with other tech leads, product managers and business partners to identify and solve the most challenging safety and integrity problems in the internet scale.

Responsibilities - What You'II Do
• Lead and build the trust and safety machine learning production models
• Work on text classifiers, multi-lingual models, sentiment analysis models, intent classifiers, speech recognition models, etc.
• Work with engineering teams to implement model pipeline and deploy the service at scale
• Collaborate with product teams to define objectives and improve trust and safety strategy
• Collaborate with data analysts to understand and find data patterns