Machine Learning Engineer - Trust and Safety, NLP (Australia)
Core
Design and deploy state-of-the-art machine learning models for content safety, focusing on NLP and computer vision to remove harmful content from TikTok's global platform.
Role type
Mid-level Machine Learning Engineer (Trust & Safety, NLP/CV)
Builds
Industry-leading content safety systems, highly-scalable classifiers, tools, and algorithms
Domain
Social media, Trust & Safety, NLP, Computer Vision
Deliverable
production ML models
Required skills
Machine learning, deep learning, NLP, computer vision, data mining, pre-training foundation technologies, PyTorch, TensorFlow, Python, Java, data structures and algorithms
Preferred skills
Published papers in top AI conferences (KDD, IJCAI, NeurIPS, etc.), experience in trust and safety area
Technologies
PyTorch, TensorFlow, Python, Java
Responsibilities
Build content safety systems, develop classifiers and algorithms, collaborate with cross-functional teams to protect the platform globally, work with data analysts to find data patterns
Seniority
Mid-level, hands-on IC
