Machine Learning Engineer - Trust and Safety, NLP (Australia)

Develop highly-scalable classifiers, tools, models and algorithms leveraging cutting-edge machine learning, computer vision and data mining technologies;

• Understand product objectives and improve trust and safety strategy and model's performance;
• Work with cross-functional teams to protect TikTok globally.
• Collaborate with data analysts to understand and find data patterns

Qualifications

Minimum Qualifications
• 3+ 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
• Skilled in pre-training foundation technologies, including efficient training and pre-training as a service, downstream applications of NLP/CV/Video are preferred
• Proficient in deep learning frameworks such as PyTorch and TensorFlow, and programming languages such as python or java.
• Good programming skills in Python and similar languages, and a deep understanding of data structures and algorithms
• Good communication and teamwork skills, be passionate about learning new techniques and taking on challenging problems

Preferred Qualifications
• Published papers in the top AI conferences or journals is a plus, including KDD, IJCAI, WWW, WSDM, ICML, NeurIPS, CVPR, ECCV, ICCV, ACL, etc.;
• Experience in trust and safety area is a plus