AI Research Internship
Published: 2025-07-04We’re Redis. We move fast, fearlessly. We’re shaping the future of software. That means less talking and more doing, pushing the boundaries, and helping our customers build better, faster. We’re curious, committed, and count on one another to think—and build—fast. Join us.
Job details
United Kingdom, Northern Europe (country)
On-site
Internship
Categories
Who we are
We're Redis. We built the product that runs the fast apps our world runs on. (If you checked the weather, used your credit card, or looked at your flight status online today, you’re welcome.) At Redis, you’ll work with the fastest, simplest technology in the business—whether you’re building it, telling its story, or selling it to our 10,000+ worldwide customers. We’re creating a faster world with simpler experiences. You in?
Position OverviewWe 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.Duration & Compensation
- Duration: 3 months
- Type: Paid internship
- Start Date: Flexible
- 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
- 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
- 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
- Resume/CV highlighting relevant experience and publications
- Links to any relevant projects, papers, or GitHub repositories