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Algorithm Engineer Project Intern (TikTok Live Revenue) - 2027 start - Project Intern (TikTok Global LIVE) - 2027 Start

Location:

Sydney

Employment Type:

Intern

Job Code:

A110645

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Responsibilities

The TikTok Global Live R&D team builds and maintains the products behind TikTok's live streaming business. Our work spans social interaction, monetization activities, the creator ecosystem, subscription services, game streaming, and guild and operations platforms, supporting the product's rapid growth in global markets. Behind those products sit hard technical problems in service architecture, large model algorithms, and foundation technologies. Solving them keeps a fast-growing business reliable, efficient, and secure. At the same time, each business scenario needs technical solutions built for its own demands. You will work alongside a strong team on problems that move real product metrics and user experience, where every line of code you write reaches hundreds of millions of users. TikTok LIVE Revenue: TikTok Live revenue engineering team is responsible for building the cutting-edge revenue ecosystem which includes gifting and other revenue features that are innovative, secure and intuitive for our users. As an important member of the engineering team, you will build solutions that affect millions of users and live streamers. We are looking for talented individuals to join our team in 2027. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company. Successful candidates must be able to commit to an onboarding date by end of year 2027. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. We are looking for talented individuals to join us for an internship in November/December 2026. Internships at our Company aim to offer students industry exposure and hands-on experience. Watch your ambitions become reality as your inspiration brings infinite opportunities at our Company. As a Machine Learning Engineer / Scientist, you will work on algorithmic solutions that support large-scale LIVE activities for users around the world. You will apply your research background and machine learning expertise to solve real-world business challenges, optimize activity performance, and drive sustainable business growth. Responsibilities - Build and optimize machine learning systems that provide algorithmic support for global large-scale LIVE activities. - Analyze activity data, develop strategy models, and use data-driven approaches to improve user engagement and business growth. - Design, train, and deploy scalable models and algorithms to support activity recommendation, ranking, targeting, and performance optimization. - Understand business objectives and work closely with product and operations teams to define long-term algorithm strategies and roadmap. - Collaborate with cross-functional teams to continuously improve model performance, experimentation efficiency, and business impact.


Qualifications

Minimum Qualifications 1. Currently pursuing an Undergraduate in Software Development, Computer Science, Computer Engineering, or a related technical discipline. 2. Solid knowledge in at least one of the following areas: machine learning, deep learning, LLM, agent, causal inference. 3. Familiar with the at least one of the data-centric domains: recommendation, generation, ab testing. 4. Great communication skill and ownership. Preferred Qualifications 1. Proven passion about solving real problems. 2. Basic knowledge about algorithm developement, deployment and serving. 3. Previous experience in tech companies as the related role. 4. Trackable academic achievement in recent 3 years. By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.


Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.​

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.​

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.​

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Diversity & Inclusion​

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.​

Acknowledgment of Country

In the spirit of reconciliation, TikTok acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.​

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