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We are seeking a highly motivated Masters or Ph.D. student for a 3 month paid internship focused on cutting-edge natural language processing and AI research. This is an excellent opportunity to work on advanced semantic systems and contribute to meaningful research in the field.
Job Responsibility:
Design and implement advanced semantic caching systems
Develop and optimize embedding-based retrieval mechanisms
Research and experiment with state-of-the-art NLP models
Contribute to the development of reliable AI systems
Collaborate on research that may lead to publications
Requirements:
Currently enrolled in a Masters or Ph.D. program in Computer Science, Machine Learning, NLP, or related field
Strong background in Natural Language Processing (NLP)
Hands-on experience in at least one of the following areas: Embedding-based retrieval systems
Representation learning using deep learning
Reliable LLM/RAG/Agentic systems
Experience with fine-tuning embedding models
Nice to have:
Published papers in NLP, representation learning, or related fields
Familiarity with modern ML frameworks (PyTorch, TensorFlow, Hugging Face)
Experience with vector databases and similarity search systems