TikTok31 followers53 jobs

Recommendation Strategy Product Project Intern (TikTok LIVE) - 2026 Start (BS/MS)

InternContractHybridSydney NSW, AustraliaProductPosted 1 month agoVerified 1 month ago
Pending fitX of Y criteria met

About the job

This job is about engaging in impactful short-term projects that enrich TikTok's content diversity by empowering small and medium-sized businesses. By leveraging cutting-edge AI technology, you will help streamline the content creation process and optimize customer acquisition. The team values collaboration and offers a fast-paced work environment where you can gain practical skills and develop a deeper understanding of your career interests.

Meet the team

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Think you're a good fit?See what the hiring team are looking for

You'll be responsible for

📈

Developing recommendation strategies

Develop and implement recommendation strategies tailored to the lead generation business context.
🧠

Applying large language models

Apply large language models (LLMs) to surface user lead generation intent and support downstream recommendation strategy improvements.
🤝

Collaborating with cross-functional teams

Collaborate closely with algorithm, engineering, and data science teams to deliver high-quality and scalable product solutions.

Key criteria

📊

Data analysis skills

Strong foundational skills in SQL or Python for data exploration.

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🤝

Cross-functional collaboration

Experience collaborating with diverse teams to deliver solutions.

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🧠

Product thinking

Ability to translate ambiguous challenges into actionable plans.

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A meaningful career starts with a match

View your fit

5 criteria for this job
Data analysis skills
Strong foundational skills in SQL or Python for data exploration.

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Cross-functional collaboration
Experience collaborating with diverse teams to deliver solutions.

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Product thinking
Ability to translate ambiguous challenges into actionable plans.

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User empathy
Understanding of user needs and market context for effective outcomes.

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LLM application experience
Experience applying large language models for user intent analysis.

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