Machine Learning Engineer - Video Recommendation-Content Ecosystem - Singapore

Roles & Responsibilities

Responsibilities

1. Design and develop TikTok’s social recommendation algorithms, building an industry-leading recommendation system to deliver a world-class user experience.

2. Integrate machine learning techniques with various business scenarios (content consumption, social interaction, notifications, following, etc.) to optimize models and strategies, continuously improving recommendation performance.

3. Collaborate closely with product and operations teams to deeply understand user and creator behaviors, and develop targeted algorithm strategies to foster a healthy ecosystem.

4. Research next-generation social recommendation models based on Graph Neural Networks (GNNs) and full-lifecycle user sequence modeling.

Qualifications

Minimum Qualifications

• Bachelor's degree (or more) in computer science or a related technical discipline
• Solid experience with data structures or algorithms;
• 2 years and above recommendation system / machine learning / data mining experience from a large-scale social-media business
• Software development experience through hands on coding in a general purpose programming language
• Familiar with the training and deployment of one or more framework models of Tensorflow / Pytorch / MXNet.
• Strong communication and teamwork skills
• Excellent business sense, passion about technologies and solving challenging problems

Tell employers what skills you have

TensorFlow

Machine Learning

Modeling

Big Data

Pipelines

Data Structures

Mathematics

User Experience

PyTorch

Python

Statistics

Data Science

Java

Teamwork Skills

Mining

Software Development