Want to know if you’re a fit? Upload your resume and let our AI show you.
Skills
Algorithmsunmatched
Communication Skillsunmatched
Computer Scienceunmatched
Cross-Functionalunmatched
Customer/Consumer Behaviorunmatched
Data Miningunmatched
Data Structuresunmatched
Ecosystemsunmatched
Machine Learningunmatched
Machine Toolunmatched
Onboardingunmatched
Problem Solving Skillsunmatched
Process Improvementunmatched
Programming Languagesunmatched
Scalable System Developmentunmatched
Software Developmentunmatched
Team Playerunmatched
User Interface/Experience (UI/UX)unmatched
Description
About the TikTok Data Team
Our TikTok 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.
We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Responsibilities
Build industry leading recommendation system; develop highly scalable classifiers and tools leveraging machine learning;
Understand product objectives and machine learning techniques; improve model and recommendation strategy;
Understand user behavior and apply ML algorithms to optimize content consumption and production experience;
Understand content security strategy and apply ML algorithms to improve content audit process;
Work with cross functional teams to grow company's product in important regional markets. Minimum Qualifications:
Individuals who are completing or have recently completed a PhD degree in computer science or a related discipline.
Solid experience with data structures or algorithms
Software development experience through hands on coding in a general purpose programming language
Strong communication and teamwork skills
Passion about technologies and solving challenging problems
Preferred Qualification:
Experience in one or more of the following areas: machine learning, recommendation systems, data mining or other related areas