Machine Learning Engineer - Core Feed Recommendation - Dedup

Responsibilities

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

About the Team
TikTok RecCore Dedup team conducts research and introduces cutting-edge AI technologies to our products. In order to provide the best user experience, we build large-scale systems and support various production strategies including video deduplication, originality recognition, copyright detection, content safety, and content moderation.

Responsibilities
- Build the Dedup and Copyright system, supports billions of users all over the world
- Based on the product requirements, develop models and systems to detect duplicated and similar materials among billions of videos
- Introduce new AI technologies to our online system and improve the performance
- Improve the reliability of the system, manage the challenges of scale and complexity
- Support the production of scalable and optimised AI/machine learning (ML) models
- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models
- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process
- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm
- Work with the relevant software platforms in which the models are deployed

Qualifications

Minimum Qualifications
- Bachelor or higher degrees in computer science or related discipline;
- Min 1 year of experience in Machine Learning, familiar with at least one DeepLearning framework, e.g. PyTorch, Tensorflow.
- Experienced in Multimedia or Computer Vision, e.g. Image/Video/Audio retrieval, Representation Learning, Re-Identification, Unsupervised/Self-supervised learning.

Preferred Qualifications:
- Have experience working in large scale tech companies.
- Master's or above degree in computer science or other relevant major.