My client is behind the technology that powers some of the fastest and most reliable applications in the world. Chances are, you’ve already interacted with it today—whether you checked the weather, made a purchase with your credit card, or tracked a flight online.

This company builds and delivers one of the most trusted, high-performance solutions on the market, serving 10,000+ customers globally. Here, you’ll work with cutting-edge technology that’s both lightning-fast and refreshingly simple—whether you’re building innovative products, shaping their story, or bringing them to market.

They’re on a mission to create a faster, more seamless digital world.

Position Overview:

My client is 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.

Duration & Compensation:

Duration: 3 months
Type: Paid internship
Start Date: Flexible

Required Qualifications:

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

Bonus Points:

Experience with fine-tuning embedding models
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

What You’ll Work On:

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

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