Principal Recommendation Algorithm Engineer, 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 its offices include New York, London, Dublin, Paris, Berlin, Dubai, 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.

Team Intro
Our TikTok recommendation team is responsible for developing state-of-the-art machine learning models and strategies to improve user consumption experience, inspire creativity, build a fair and flourishing ecosystem.

Responsibilities:
1.

Build industry leading recommendation system, develop highly scalable classifiers and tools leveraging machine learning
2.

Understand product objectives and machine learning techniques, improve model and recommendation strategy
3.

Understand user behaviour and apply Machine Learning algorithms to optimize push notification and production experience
4.

Work with TikTok cross functional teams to grow TikTok in important regional markets

Minimum Qualifications:
- Bachelor's degree (or more) in computer science or a related technical discipline
- Solid with data structures or algorithms
- Software development experience through hands on coding in a general purpose programming language
- Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas
- Strong communication and teamwork skills
- Passion about technologies and solving challenging problems Preferred Qualification:
- Minimum 4 years of experience in the internet product area.