Job Information
TikTok Inc. Staff Algorithm Engineer (Multiple Positions) in Bellevue, Washington
Responsibilities
- Spearhead the design, implementation, and training of an innovative multi-modal LLM specifically engineered for TikTok's distinct content, with a strong emphasis on safety and trustworthiness.
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``` - Conduct rigorous research and experimentation to refine the model's architecture, training pipeline, and performance metrics, with an unwavering focus on safety and responsible AI.
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``` - Curate, preprocess, and manage comprehensive multi-modal datasets, encompassing text and videos to ensure both data quality and inclusivity.
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``` - Apply advanced machine learning (ML) techniques, transfer learning, and reinforcement learning methods to meticulously train and fine-tune the multi-modal LLM, adhering to the highest safety and ethical standards.
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``` - Tackle challenges related to bias mitigation, fairness, and user privacy, guaranteeing that the model's outputs align with the highest standards of safety and trust.
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``` - Lead advanced research in content moderation, employing cutting-edge techniques to analyze user-generated content alignment with TikTok's community guidelines, thereby cultivating a secure and positive user ecosystem.
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``` - Develop and implement innovative algorithms for content policy enforcement, elevating the platform's content integrity and user experience.
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``` - Proactively contribute to training vision-language model, enhancing content moderation efficiency and accuracy.
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``` - Collaborate with the team to develop robust annotation tools and algorithms tailored to the needs of the vision language model, facilitating streamlined data labeling and model training processes for improved content moderation.
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``` - Stay abreast of the latest advancements in multi-modal models, natural language processing, computer vision, and related domains to drive continuous innovation in responsible AI development.
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``` - Survey state-of-the-art research papers in the field of content moderation and AI, identifying relevant methodologies and techniques to integrate into TikTok's auto moderation pipeline.
Qualifications
Must have a Master's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Mathematics, Statistics, Physics, or a related field, and 5 years of related work experience; OR a Bachelor's degree in Computer Science, Engineering (any), Information Technology, Machine Learning, Data Science, Mathematics, Statistics, Physics, or a related field, and 7 years of related work experience, out of which 5 years must be post-bachelor's, progressive related work experience.
Of the required experience, must have 5 years of experience in each of the following:
- Developing data-driven intelligent systems to drive user growth and engagement by applying: (1) XGBoost and Random Forest tree-based AI/ML models and (2) deep learning neuron network or natural language processing;
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``` - Implementing and deploying AI/ML model using Python in production environment;
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``` - Collecting and analyzing large-scale datasets, including image, video, audio, and text to design ML models from the dataset using Python, Go, SQL, or PyTorch;
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