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
