What the Role Entails

1. Assist in the development and improvement of AI agents, focusing on marketing and user acquisition.

2. Collaborate with data scientists and engineers to enhance the performance and efficiency of agent tasks.

3. Support cross-functional teams (marketing, operations, product) to optimize agent-driven strategies.

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Who We Look For

1. Currently enrolled in a CS/EE degree program (undergraduate or postgraduate). Must be available for at least 6 months of internship.

2. Strong proficiency in programming languages such as Python and SQL.

3. Experience or interest in working with AI-driven systems is a plus.

4. Familiarity with basic marketing and user acquisition concepts is a plus.

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About the company

Tencent

Company overview

Tencent is a global internet and technology company headquartered in Shenzhen, China. Tencent builds consumer products (notably communications, social, and digital content including games) and enterprise services such as cloud, advertising, and fintech. Tencent operates across multiple business groups and markets products and services that reach large user bases worldwide. Tencent is publicly listed in Hong Kong and runs significant R&D across AI, infrastructure, and digital platforms.

Locations and presence

Tencent is headquartered in Shenzhen and operates major offices across China (including Beijing, Shanghai, Chengdu, and Guangzhou) plus overseas offices including the United States and South Korea. Early-career roles appear primarily office-based or hybrid depending on country and team, with campus hiring tied to specific office locations.

Palpable Score

76.6

/ 100

Tencent is one of the most accessible large tech employers for early-career candidates because Tencent runs large-scale internship and campus recruitment and advertises global graduate hiring across multiple countries. The main cap on the score is transparency consistency: candidates can find interview-stage signals via reviews and some job ads, but Tencent does not consistently publish a single, role-by-role public standard for timelines, feedback, and pay ranges across regions.

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