Applied Scientist: Scalable ML for Moderation

TikTok; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

TikTok is hiring for an Applied Scientist position in Singapore, where successful candidates will build scalable machine learning models and work on enhancing content moderation methods. This role requires a PhD in Software Development or a related field, with experience in modeling for areas such as NLP, ads, and recommender systems. Candidates should have a strong publication record in top-tier conferences. The position promises an engaging environment focused on technical excellence and user satisfaction.

Qualifications

• Candidates must have a PhD in a technical field related to software or computer science.
• Experience with modeling in fields such as NLP or agent technologies is necessary.
• A strong track record in high-impact academic publications is required.

Responsibilities

• Develop scalable machine learning models and collaborate across disciplines.
• Engage in innovative problem-solving to enhance content moderation capabilities.
• Meet users’ needs by building reliable platforms and services.

Skills

Modeling experience

Algorithm knowledge related to LLMs

Publication record in top conferences

Understanding of Ads, Search engine, Recommender Systems

Education

PhD in Software Development, Computer Science, or related field

Job description

TikTok is hiring for an Applied Scientist position in Singapore, where successful candidates will build scalable machine learning models and work on enhancing content moderation methods. This role requires a PhD in Software Development or a related field, with experience in modeling for areas such as NLP, ads, and recommender systems. Candidates should have a strong publication record in top-tier conferences. The position promises an engaging environment focused on technical excellence and user satisfaction.