ML & Recommender Systems Research Engineer

TikTok; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

TikTok is seeking a PhD-level researcher for its R&D team in Singapore to tackle challenges in recommendation, live streaming, and e-commerce systems. You will work on scalable algorithms, collaborate with experts, and push the boundaries of large-scale data-driven solutions to improve user experience and engagement.

The role emphasizes deep technical challenges, high-quality software, and a collaborative, fast-paced environment in a global tech leader known for innovation and impact.

Qualifications

• PhD in AI/CS/Math or related fields.
• Strong programming skills and software design ability.
• Excellent problem-solving, communication, and teamwork.
• Familiar with ML/NLP/data mining; experience in recommender systems is a plus.

Responsibilities

• Contribute to building and maintaining scalable TikTok R&D products.
• Collaborate with experts to tackle challenges in recommendation systems and live streaming.
• Develop algorithms and systems that operate at scale for hundreds of millions of users.

Skills

Programming skills

Problem solving

ML/NLP/data mining

Teamwork/communication

Education

PhD in AI/CS/Math

Tools

Python

PyTorch/TensorFlow

Job description

TikTok is seeking a PhD-level researcher for its R&D team in Singapore to tackle challenges in recommendation, live streaming, and e-commerce systems. You will work on scalable algorithms, collaborate with experts, and push the boundaries of large-scale data-driven solutions to improve user experience and engagement.

The role emphasizes deep technical challenges, high-quality software, and a collaborative, fast-paced environment in a global tech leader known for innovation and impact.