Algorithm Engineer Intern (TikTok Live Revenue) - 2027 Start (PhD) (Rolling Intake)

Collaw

Sydney

Hybrid

AUD 34,000 - 55,000

Part time

14 days+

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Job summary

TikTok LIVE Revenue internship offers PhD or Master students a hands‑on opportunity to contribute to cutting‑edge ML systems powering global LIVE activities. You will apply your research and ML expertise to optimize algorithms that drive engagement and business growth, while collaborating with product and operations teams.

You will design, train, and deploy scalable models for recommendations, ranking, targeting, and performance optimization, shaping long‑term algorithm strategies and roadmap.

Qualifications

  • Pursuing PhD or Master in math, physics, statistics, AI, software engineering, CS or related field.
  • Knowledge in ML/DL/LLM/agent/causal inference.
  • Familiar with data-centric domains: recommendation, generation, A/B testing.
  • Excellent communication and ownership.

Responsibilities

  • Build and optimize ML systems for global LIVE activities.
  • Analyze activity data, develop strategy models, and use data-driven approaches to improve engagement and growth.
  • Design, train, and deploy scalable models for recommendation, ranking, targeting, and performance optimization.
  • Understand business objectives and collaborate with product/operations on long‑term algorithm roadmap.
  • Collaborate with cross‑functional teams to improve model performance and business impact.

Skills

Machine learning
Deep learning
LLM
Causal inference

Education

PhD or Master in math, physics, statistics, AI, CS

Job description

Responsibilities

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 us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies.
Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.

As a Intern, 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.

  • 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:

  • Currently pursuing your PhD or Master degree in math, physics, statistics, AI, software engineer, computer science or related engineering field.
  • Solid knowledge in at least one of the following areas: machine learning, deep learning, LLM, agent, causal inference.
  • Familiar with the at least one of the data-centric domains: recommendation, generation, ab testing.
  • Great communication skill and ownership.

Preferred Qualifications:

  • Proven passion about solving real problems.
  • Basic knowledge about algorithm development, deployment and serving.
  • Previous experience in tech companies as the related role.
  • 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.

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.

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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