This is a Machine Learning Engineer - Trust and Safety, NLP (Australia) role with TikTok based in Sydney, NSW, AU TikTok Role Seniority - mid level More about the Machine Learning Engineer - Trust and Safety, NLP (Australia) role at TikTok Building a world where people can safely discover, create and connect. The Trust & Safety (T&S) team at TikTok helps ensure that our global online community is safe and empowered to create and enjoy content across all of our applications. We have invested heavily in human and machine-based moderation to remove harmful content quickly and often before it reaches our general community. We are looking for people like you with solid experience in designing and deploying state-of-the-art models in the combination of NLP and CV related areas. This position will work with a team of excellent research scientists and machine learning engineers who can take initiatives, design and develop advanced machine learning solutions, and deploy them directly to TikTok's global platform. Responsibilities - Build industry-leading content safety systems for TikTok; - 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 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 Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the TikTok team will be there to support your growth. Please consider applying even if you don't meet 100% of what’s outlined Key Responsibilities ️ Building content safety systems Developing classifiers and algorithms Collaborating with cross-functional teams Key Strengths Machine learning expertise Deep learning frameworks ️ Communication and teamwork Research publications Experience in trust and safety A Final Note: This is a role with TikTok not with Hatch.
