NAVER LABS Europe is Research Internship Constraining Large-Scale Language Models (F/M)scheduled for late 2026. The internship location is Meyrin near Grenoble, Francedesigned for doctoral candidates and successful master’s students in computer science, machine learning, and deep learning.
The position is Full-time 5-6 month research internship in-house interactive system groupfocuses on advanced AI systems capable of safe and meaningful interactions with humans and other agents.
About NAVER LABS Europe
NAVER LABS Europe is the research and development arm of NAVER, one of the world’s leading technology companies based in South Korea. NAVER operates across multiple domains including:
- Search engines and information retrieval systems
- Digital commerce and fintech platforms
- content ecosystem
- Robotics and cloud technology
The European Institute is particularly focused on long-term AI innovation in the following areas: Human-robot interaction, natural language processing (NLP), speech systems, intelligent information systems.
The organization values academic collaboration and participation in the leading machine learning and NLP research communities.
Research focus: Constraints of large-scale language models
The internship focuses on key challenges in modern artificial intelligence. Controlling large language model (LLM) output.
The main research themes are:
- Adjust large-scale language models to human intent and safety constraints
- Controlled text generation under complex and structured conditions
- Reinforcement learning methods for language model optimization
- Stochastic modeling for reliable AI output generation
- Maintaining formal guarantees in generative AI systems
This project builds on existing research including: Distribution policy Gradient methodwe aim to explore a scalable approach to enforcing constraints while maintaining model flexibility and performance.
Role purpose and responsibilities
Selected interns will contribute to experimental and theoretical research in the following areas:
- Designing and implementing experiments on large language models
- Development of algorithms for controlled generation under constraints
- Evaluation of alignment methods such as RLHF and related approaches
- Train and fine-tune your model using PyTorch
- Conduct independent research with minimal supervision
- Contribution to academic publications and technical results
This role is particularly suitable for candidates who are interested in: Mathematically grounded machine learning research combining theory and applied experiments.
Required skills and profile
Applicants are expected to demonstrate strong technical ability in the following areas:
- Advanced understanding of large language models and training pipelines
- Good PyTorch proficiency
- Familiarity with reinforcement learning and alignment techniques (e.g. RLHF)
- Ability to design and run your own machine learning experiments
- Strong analytical and mathematical reasoning skills
Candidates are expected to have a high degree of autonomy and be able to work in a research-driven environment.
Research environment and publications
NAVER LABS Europe highlights a strong track record of academic output, including frequent contributions from former interns. Lead author of major conferences and journals ICLR, ICML, NeurIPS, ACL, etc.
Notable research areas include:
- Controlled text generation framework
- Energy-based and distribution modeling techniques
- How to tune language models to avoid catastrophic forgetting
- Sampling and divergence-based optimization approaches
- Toolkit development for generative model control
This internship provides exposure to cutting-edge research and the opportunity to co-author a peer-reviewed publication.
What the internship offers
NAVER LABS Europe provides a research-intensive, collaborative environment backed by decades of expertise in artificial intelligence.
The main benefits are:
- Participate in high-impact AI research projects
- Collaboration with international researchers and scientists
- Flexible work-life balance
- Access to advanced AI research infrastructure
- Academic publishing and conference participation opportunities
- Training and skill development in advanced machine learning techniques
The organization also promotes an inclusive and merit-based work culture.
Location and working environment
The internship location is Meyrin (France)near Grenoble, a major center of science and technology in Europe. This region offers:
- Close to major research institutions
- Strong innovation ecosystem
- Access to natural mountain scenery and outdoor recreation
NAVER LABS values a balanced environment that combines research intensity with quality of life.
Application requirements
Applicants must submit the following:
- I updated my resume.
- cover letter
- Supporting documents requested in the application portal
Incomplete applications will not be considered.
conclusion
NAVER LABS Europe’s research internships are highly competitive opportunities for advanced students and early career researchers interested in: Large-scale language model tuning, controlled generation, and machine learning theory. This role is designed for individuals looking to contribute to fundamental AI research with real-world impact and academic relevance.
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Disclaimer: Global South Opportunities (GSO) is not the organization providing this opportunity. For inquiries, please contact the official organization directly. Please do not submit your application or resume to GSO as it cannot be processed by GSO. Due to the large volume of emails we receive every day, we may not be able to respond to all inquiries. Thank you for your understanding.
