AI Research Internship at Redis

Position Overview:

• 3-month paid internship focused on cutting-edge natural language processing (NLP) and AI research.
• Opportunity to work on advanced semantic systems and contribute to meaningful research.

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
• 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.

Application Requirements:

• Resume/CV highlighting relevant experience and publications.
• Links to any relevant projects, papers, or GitHub repositories.

Additional Information:

• Redis values diversity, inclusion, and equal employment opportunities.
• Accommodations available for applicants with disabilities upon request.