PhD Internship: ML Engineer (Recommender Systems)

TikTok; Singapore; On-site; SGD 20,000 - 31,000; Part time

Job summary

TikTok is seeking PhD interns to join its E-commerce recommendations team, focusing on large-scale learning algorithms such as billion-level data pipelines, live-stream and short-video recommendations. The role emphasizes hands-on research, collaboration with ML engineers and data scientists, and real-world product impact.

The internship offers opportunities to contribute to innovative AI/ML solutions, work with industry experts, and participate in a dynamic program blending hands-on learning

Qualifications

• Strong programming and problem-solving ability.
• Experience in applied machine learning and familiar with common algorithms.

Responsibilities

• Participate in building large-scale E-commerce recommendation algorithms and systems (billion-level).
• Build long and short term user interest models from large data to explore latent interests.
• Design, develop, evaluate and iterate on predictive models for candidate generation and ranking (CTRs, CRs) including real-time data pipelines and feature engineering.

Skills

Python

C++

TensorFlow/PyTorch

Problem solving

ML algorithms

Education

PhD student in CS/Software Engineering

Tools

TensorFlow

PyTorch

Job description

TikTok is seeking PhD interns to join its E-commerce recommendations team, focusing on large-scale learning algorithms such as billion-level data pipelines, live-stream and short-video recommendations. The role emphasizes hands-on research, collaboration with ML engineers and data scientists, and real-world product impact.

The internship offers opportunities to contribute to innovative AI/ML solutions, work with industry experts, and participate in a dynamic program blending hands-on learning