Senior Machine Learning Engineer, TikTok Trust and Safety
Role details
Job location
Tech stack
Job description
Responsible for a whole sub-module in moderation system or a research direction including but not limited to LLM and application in Safety, moderation system iteration.
- Work with team members to design next-generation moderation systems with new technologies.
- Work on Neural Network models and LLM-based models to solve TikTok online safety problems.
- Work with engineering teams to implement model pipelines and deploy the service at scale.
- Collaborate with the product team to define objectives and improve trust and safety strategy.
- Collaborate with data analysis to understand and find data patterns.
Requirements
Minimum of 3 years experience in one or more of the areas: machine learning, deep learning, computer vision, content understanding.
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BS/MS degree in Computer Science, Electrical Engineering, Operation Research, Applied Mathematics or similar quantitative fields.
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Skilled in deep learning model training(CV/NLP/NN), serving, and optimization.
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Proficient in deep learning frameworks such as PyTorch and TensorFlow.
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Hands-on experience in one or more of the following areas: machine learning (CV/NLP/Multimodal), active learning, Large Language Models, Recommendation Systems, and related areas.
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Strong coding skills, especially in Python and similar languages.
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Good communication and teamwork skills, passionate about learning new techniques and taking on challenging problems. Preferred Qualifications:
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Experienced in large-scale online machine learning platforms is preferred.
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Experiences in active learning, reinforcement learning, and LLM are a plus.