Machine Learning Engineer (Content Understanding) Intern, (TikTok Live Foundation Sydney) - 2027 start (PhD)

Description

About Our Team:
Our team aims to help TikTok's SMB merchants and creators obtain more diverse customer acquisition and business operation methods through live streaming by building product capabilities and providing creator services, and to offer professional live streaming content for users.

We are looking for passionate and talented engineers to join us and empower content understanding in SMB business. We are working on cutting-edge content understanding topics and engaging with industry recognition and intention recognition for our creators, enhancing LIVE content diversity and creator monetization.

We are looking for talented individuals to join us for an internship in 2027. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies.
PhD internships at Our Company provides students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.
Applications will be reviewed on a rolling basis - we encourage you to apply early. Please state your availability clearly in your resume (Start date, End date).

Job Responsibilities
- Life-cycle model development, from model training, deployment, maintenance, and iteration.
- Convert ML models to scalable online services for online businesses.
- Understand product goals and improve content understanding strategy and model's performance
- Collaborate with engineers from diverse technical backgrounds and cross-functional teams to integrate advanced modeling techniques into production.

Requirements

Minimum Qualifications
- Proficient in at least one of the following languages: Go, Python, Java, C++.
- Solid knowledge and experience with at least one major deep learning framework (e.g. PyTorch, Tensorflow)
- 2+ years experience in one or more of the areas: machine learning, deep learning, computer vision, NLP, Audio, content understanding or participating in large-scale online machine learning platforms are preferred
- Experience building scalable, highly available, distributed and mission-critical systems.

Preferred Qualifications
- Able to work closely with diverse stakeholders and have good communication skills
- Self-driven, positive, cooperative and willing to keep learning at all times
- Authors with publications in top-tier venues such as SIGGRAPH, SIGGRAPH Asia, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR

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 [email protected].