Realtime ML Engineer Intern – Live Platform

TikTok

Singapore

On-site

SGD 31,000 - 51,000

Part time

14 days+

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Job summary

TikTok in Singapore invites PhD students to join our Live Platform Intelligence internship, contributing to real-time, high‑performance streaming infrastructure and data‑driven product features. You will work with engineers and data scientists to improve live revenue and creator engagement while gaining hands‑on experience in large‑scale systems.

We value curiosity, rigorous problem solving and collaboration across teams, and offer an opportunity to influence live streaming products used by

Qualifications

  • Pursuing a PhD in computer science or a related engineering discipline.
  • Familiar with commonly used machine learning and deep learning algorithms, including but not limited to DNN, NLP, CV.
  • Familiar with at least one of Flink, Spark, Hive etc., with big data parallel processing experience
  • Excellent problem-solving and critical thinking skills, and solid maths foundation, including probability statistics, numerical optimization.
  • Preferred: experience in large-scale recommend/advertising systems, risk control systems or LLM is preferred

Responsibilities

  • Participate in the optimization of ByteDance LIVE business and serve the LIVE experience of billions of global users.
  • Adopt cutting-edge machine learning models to improve business metrics (LIVE revenue and LIVE content quality), and bring creators/operators the ultimate experience in LIVE business.
  • Deeply participate in product/business discussions, analyze and understand user behaviour patterns, and provide optimization directions for improvement.

Skills

Machine learning
Deep learning
Statistics
Critical thinking

Education

PhD in Computer Science

Tools

Flink
Spark
Hive

Job description

TikTok in Singapore invites PhD students to join our Live Platform Intelligence internship, contributing to real-time, high‑performance streaming infrastructure and data‑driven product features. You will work with engineers and data scientists to improve live revenue and creator engagement while gaining hands‑on experience in large‑scale systems.

We value curiosity, rigorous problem solving and collaboration across teams, and offer an opportunity to influence live streaming products used by

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