AI Research Internship
Content + Source + Freshness • 11 Dec 2025 • 95% confidence
Offer value
High value from a reputable company with opportunities to innovate in natural language processing.
- Opportunity to innovate in NLP research
- Work with leading AI technology
- Ideal for advanced students pursuing research careers
- Well suited for those with a strong technical foundation
Pros
- Contribute to impactful NLP research
- Work with established technology and global clients
- Flexibility in application with remote options
Cons
- Focused duration of 3 months may limit project scope
- Limited information on compensation structure
- High expectations for measurable outcomes
Who it's for
Masters/PhD students • Remote
Good fit
- Masters or PhD students in NLP or Machine Learning
- Candidates eager to engage in real-world AI applications
- Researchers looking to refine their skills class
Not recommended for
- Recent graduates without a research background
- Candidates with limited programming skills
- Individuals who prefer structured corporate hierarchies
Motivation fit
Key skills
About the job
AI Research Internship
United KingdomWho 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 Overview
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.Duration & Compensation Required Qualifications Bonus Points What You'll Work On Please submit #LI-Remote #LI-HG1
- 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
As a global company, we value a culture of curiosity, diversity of thought, and innovation from our employees, customers, and partners. Redis is committed to a diverse and inclusive work environment where all employees’ differences are celebrated and supported, and everyone feels safe to bring their authentic selves to work. Redis is dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law. We strive to create a workplace where every voice is heard, and every idea is respected. Redis is committed to working with and providing access and reasonable accommodation to applicants with mental and/or physical disabilities. If you think you may require accommodations for any part of the recruitment process, please send a request to [email protected]. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law. Any offer of employment at Redis is contingent upon the successful completion of a background check, consistent with applicable laws. Redis reserves the right to retain data longer than stated in the privacy policy in order to evaluate candidates.
