Algorithm Engineer
2 weeks ago
Responsibilities
TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.
Why Join Us
At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform.
We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes.
Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility.
Join us and make impact happen with a career at TikTok.
The team use the most advanced AI technology to combat various risks/violations in Bytedance's e-commerce platform, maintain platform security, build a good e-commerce ecosystem, and empower business teams to improve work efficiency.
The fairness and sustainability of the e-commerce ecosystem, high-quality content and merchandise are areas where we are constantly striving for improvement.
- Responsible for the risk identification model related to the text content (such as product description, picture text, oral broadcast description, etc.) in the ecommerce scene
- Responsible for product/short video/live comments, reports and other public opinion content risk mining algorithm, improve the platform governance effect
- Build an industryleading content recognition method, and build a crossdomain and multidimensional recognition strategy for text content with adversarial behavior
Qualifications
- Solid foundation of NLP algorithm, indepth understanding and practical experience in text classification, similarity matching, dialogue question and answer, machine translation, sequence tagging, Knowledge Graph, intention understanding, word meaning disambiguation and other fields
- Familiar with commonly used machine learning and deep learning algorithms, understand the basic network model structure (DNN/LSTM/CNN, etc.) and text representation methods (LDA/Word2Vec/ELMo/GPT/BERT, etc.), and have practical experience in deep learning training and reasoning model tuning
- Strong handson ability, proficient in using at least one mainstream deep learning framework (TensorFlow/PyTorch/Caffe/MXNet), and understanding of distributed training, distillation acceleration and other implementation methods
- Excellent problem analysis and problem solving skills, have certain processing methods and optimization experience on domain migration, small sample construction, text mining, unsupervised/semisupervised and other issues
- Master basic big data related components (Hadoop/Spark/Hive/Flink), and have experience in largescale text data processing and cleaning
- Familiar with Linux development environment, proficient in C++ /go/python at least one programming language, and solid foundation in algorithms and data structures
- Good sense of teamwork and communication skills, practical experience in relevant business scenarios is preferred
- Published papers in highlevel computer science conferences (ACL, EMNLP, NIPS, AAAI, etc.) or have competition experience are preferred
To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach.
We are passionate about this and hope you are too.-
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