Machine Learning Engineer (Content Understanding), TikTok Live Foundation (Sydney)
TikTok — Sydney, AU
- Published on
About the Role
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.
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.
About the Candidate
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.