ML Engineer: Scalable Recommender Systems

TikTok; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

TikTok is hiring for an advanced ML/AI role focused on building scalable recommendation systems and ML-powered classifiers. You will work on understanding product goals, user behavior, and content security to enhance the content experience.

The position involves close collaboration with cross-functional teams to expand TikTok’s product reach in important regional markets. Ideal candidates hold a PhD in CS or related, have strong data structures/algorithms foundations, and hands-on programming

Qualifications

• PhD in CS or related required or nearing completion
• Solid experience with data structures and algorithms
• Hands-on coding in a general purpose language
• Strong communication and teamwork skills
• Passion for technologies and solving challenging problems
• Experience in machine learning, recommendation systems, or data mining

Responsibilities

• Build industry-leading recommendation system; develop scalable classifiers and ML-powered tools
• Understand product objectives and ML techniques; improve models and recommendations
• Analyze user behavior; apply ML to optimize content consumption/production
• Align with content security strategy; apply ML to improve content audit processes
• Collaborate with cross-functional teams to grow the product in key regional markets

Skills

PhD-related research

Data structures & algorithms

General programming

Communication & teamwork

Tech passion & problem solving

ML/RS/Data mining experience

Education

PhD in computer science or related

Job description

TikTok is hiring for an advanced ML/AI role focused on building scalable recommendation systems and ML-powered classifiers. You will work on understanding product goals, user behavior, and content security to enhance the content experience.

The position involves close collaboration with cross-functional teams to expand TikTok’s product reach in important regional markets. Ideal candidates hold a PhD in CS or related, have strong data structures/algorithms foundations, and hands-on programming