ML Engineer Intern, Live Revenue Platform

TikTok

Sydney

On-site

AUD 20,000 - 31,000

Full time

4 days ago
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Job summary

TikTok is seeking an Algorithm Engineer Project Intern for the 2027 start in Sydney, Australia. You will join the TikTok Global LIVE R&D team, tackling machine learning and algorithmic challenges for live revenue, gifting, and user experience at a massive scale.

The internship offers hands-on experience with state-of-the-art models and end-to-end deployment, collaborating with product and operations to shape long-term algorithm strategies.

Qualifications

  • Currently pursuing an Undergraduate in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
  • Solid knowledge in at least one of: machine learning, deep learning, LLM, agent, causal inference.
  • Familiar with at least one data-centric domain: recommendation, generation, A/B testing.
  • Great communication and ownership.

Responsibilities

  • Build and optimize ML systems that support global LIVE activities.
  • Analyze activity data, develop models and data-driven strategies to boost engagement and growth.
  • Design, train, and deploy scalable models for recommendation, ranking, targeting, and performance optimization.
  • Understand business objectives and collaborate with product and operations to define long-term algorithm strategies.
  • Partner with cross-functional teams to improve model performance and experimentation efficiency.

Skills

Machine Learning
Deep Learning
LLM
Agent
Causal Inference
Communication & Ownership

Education

Undergraduate in Software Development
Computer Science
Computer Engineering

Job description

TikTok is seeking an Algorithm Engineer Project Intern for the 2027 start in Sydney, Australia. You will join the TikTok Global LIVE R&D team, tackling machine learning and algorithmic challenges for live revenue, gifting, and user experience at a massive scale.

The internship offers hands-on experience with state-of-the-art models and end-to-end deployment, collaborating with product and operations to shape long-term algorithm strategies.

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