August 17
• Design and implement new features for our products. • Especially, apply LLM/DeepLearning/ML/NLP techs for our editor product. • Interview our customers and design new features/apps for solving their problems. • Analyze public/private data for understanding legal documents. • Evaluating cutting-edge DL/ML/NLP techs.
• Experience in natural language processing using deep learning frameworks such as Huggingface/PyTorch/TensorFlow. • Fundamental knowledge of basic data retrieval using RDBMS, KVS, full-text search engines, etc. • Experience with programming languages other than Python, such as Java, C#, C++, Rust, Go, JavaScript, TypeScript. • Experience in commercial or open-source software development. • Business-level proficiency in English conversation. • Master’s degree in Computer Science, Engineering, or related field (preferred)
• A wealth of real-world applications in NLP/GenAI/DL/ML with access to practical and sensitive data. • Focus on R&D for new technology: We heavily focus on research for knowledge extraction leveraging user data • An Engineering-first approach: The CEO is also a software engineer and over 70% of members are software engineers. • Rapid organic growth: We have experienced 300% revenue growth, are profitable, and have achieved this without outside investment.
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