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Language Models for Databases Intern

Nokia

Nokia

United States
Posted on Dec 4, 2025

Number of Position(s): 1

Duration: 10 Weeks

Date: June to August, 2026

Location: On-site, Murray Hill, NJ

EDUCATIONAL RECOMMENDATIONS

Currently a candidate for a PhD or Master's in Computer science, Electrical engineering, or mathematics, or a related field with an accredited school in the USA.


Advancing connectivity to secure a brighter world.

Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.



About the Business Group

The Strategy and Technology organization drives Nokia’s future innovation by identifying value-creation opportunities, setting a unified company vision, and developing coherent business, technology, and architecture strategies. It establishes a research foundation for new products and solutions while providing critical infrastructure to support secure and effective execution across all Nokia business units.

Nokia Bell Labs, the world-renowned industrial research arm of Nokia has pioneered breakthrough foundational technologies over the past 100 years like the transistor, laser, Unix, and solar cell - shaping modern communications, computing and connectivity. Today, it drives innovation in AI, quantum computing, 6G, and space communications, bridging groundbreaking research to real-world applications with meaningful impact on society. With ten Nobel Prizes and five Turing Awards, Nokia Bell Labs continues to define the future of technology.


Our recruitment process

We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.

If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.

The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.

Some of our benefits for students in the US:
  • Flexible and hybrid working schemes to balance study, work, and life
  • Professional development events and networking opportunities
  • Well-being programs, including Personal Support Service 24/7 - a confidential support channel open to all Nokia employees and their families in challenging situations
  • Opportunities to join Nokia Employee Resource Groups (NERGs) and build connections across the organization
  • Employee Growth Solutions, mentorship programs, and coaching support for your career development
  • A learning environment that fosters both personal growth and professional development – for your role and beyond

Disclaimer for US/Canada

Nokia maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity. Check the salary ranges in the job info section for this role.

All North America job posts will post for a minimum of 3 calendar days and up to 180 days or until candidate/s identified.

Join Nokia Bell Labs' Math and Algorithms Group within the AI Research Lab and contribute to pioneering research in communications theory, optimization, machine learning, and the theory of computing. In this role, you'll conduct high-impact research and apply your findings to real-world challenges across Nokia's technologies. Focus areas may include improving LLM performance on enterprise databases, using ML to interpret complex network data, developing agentic methods for multi-database interaction, and managing dynamic data streams. This is an exceptional opportunity to advance both theoretical and applied research in AI and data science.
  • Demonstrated research experience with strong peer-reviewed publications.

  • Ability to write clean, high-quality, maintainable code in research team environments.

  • Experience working with large language models; familiarity with database systems is a strong plus.


You will join our research team to contribute to high-quality foundational studies and support the translation of research insights into practical solutions used across diverse Nokia applications. Throughout the internship, you will engage in exploratory work, collaborate with experienced researchers, and participate in hands-on development involving emerging AI technologies. These efforts will allow you to build skills, gain exposure to real-world challenges, and deepen your knowledge of advanced AI methods. Likely focus areas include:

  • Enhancing the performance and adaptability of off-the-shelf LLMs for enterprise-scale databases.

  • Applying machine learning to model, interpret, and manage large and complex network database schemas.

  • Developing agentic approaches that enable seamless interaction across heterogeneous data systems.

  • Designing methods to process, learn from, and reason over dynamic, continuously evolving data streams