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Machine Learning Scientist III (NLP)
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- Machine Learning Scientist III (NLP)
- Stay informed about latest AI literature and NLP research to bring inspirations into our work
- Familiarity with advanced statistical NLP such as large language model LLM, representation learning, probabilistic topic model, syntactic and semantic parsing, information retrieval IR, information extraction, retrieval augmented generation RAG, summarization, multi-linguality, fine-tuning or domain adaptation of NLP models using pre-trained LLM (such as Hugging Face), and in-context learning using commercial service (such as OpenAI’s GPT)
- Proficiency in deep neural net DNN modeling (such as computational graph, activation function, stochastic gradient descent) and popular families of model architectures (such as CNN, Bi-LSTM, and Transformer)
- Fluency in Python programming and related machine learning tools (such as NumPy, Pandas, scikit-learn, NLTK, and spaCy), deep learning frameworks (such as TensorFlow or PyTorch), and SQL-like query languages (such as Spark)
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