NAVER LABS Europe has announced a Research Internship in Constraining Large Language Models at Scale (F/M), scheduled for the second half of 2026. The internship is based in Meylan, near Grenoble, France, and is designed for PhD candidates in Computer Science, Machine Learning, or Deep Learning, as well as exceptional Master’s students.

The position is a full-time, 5–6 month research internship within the company’s Interactive Systems Group, which focuses on advanced AI systems capable of safe and meaningful interaction with humans and other agents.

About NAVER LABS Europe

NAVER LABS Europe is the research and development division of NAVER, a leading global technology company based in Korea. NAVER operates across multiple domains including:

Search engines and information retrieval systems
Digital commerce and fintech platforms
Content ecosystems
Robotics and cloud technologies

The European research lab focuses on long-term AI innovation, particularly in areas involving human–robot interaction, natural language processing (NLP), speech systems, and intelligent information systems.

The organization emphasizes academic collaboration and participation in leading machine learning and NLP research communities.

Research Focus: Constraining Large Language Models

The internship centers on a critical challenge in modern artificial intelligence: controlling the outputs of large language models (LLMs).

Key research themes include:

Alignment of large language models with human intent and safety constraints
Controlled text generation under complex and structured conditions
Reinforcement learning techniques for language model optimization
Probabilistic modeling for reliable AI output generation
Maintaining formal guarantees in generative AI systems

The project builds on existing research, including Distributional Policy Gradient methods, and aims to explore scalable approaches for enforcing constraints while preserving model flexibility and performance.

Role Objectives and Responsibilities

The selected intern will contribute to experimental and theoretical research in the following areas:

Designing and implementing experiments on large language models
Developing algorithms for controlled generation under constraints
Evaluating alignment methods such as RLHF and related approaches
Working with PyTorch for model training and fine-tuning
Conducting independent research with minimal supervision
Contributing to academic publications and technical outputs

The role is particularly suited for candidates interested in mathematically grounded machine learning research combining theory and applied experimentation.

Required Skills and Profile

Applicants are expected to demonstrate strong technical competence in the following areas:

Advanced understanding of large language models and training pipelines
Strong proficiency in PyTorch
Familiarity with reinforcement learning and alignment techniques (e.g., RLHF)
Ability to independently design and execute machine learning experiments
Strong analytical and mathematical reasoning skills

Candidates are expected to be highly autonomous and capable of working in a research-driven environment.

Research Environment and Publications

NAVER LABS Europe highlights a strong track record of academic output, with former interns frequently contributing as first authors in leading conferences and journals such as ICLR, ICML, NeurIPS, and ACL.

Notable research areas include:

Controlled text generation frameworks
Energy-based and distributional modeling techniques
Alignment methods for language models without catastrophic forgetting
Sampling and divergence-based optimization approaches
Toolkit development for generative model control

This internship provides exposure to cutting-edge research and opportunities to co-author peer-reviewed publications.

What the Internship Offers

NAVER LABS Europe provides a research-intensive and collaborative environment supported by decades of expertise in artificial intelligence.

Key benefits include:

Participation in high-impact AI research projects
Collaboration with international researchers and scientists
Flexible work-life balance
Access to advanced AI research infrastructure
Opportunities for academic publishing and conference participation
Training and skill development in advanced machine learning methods

The organization also promotes an inclusive and merit-based working culture.

Location and Work Environment

The internship is based in Meylan, France, near Grenoble, a major European hub for science and technology. The region offers:

Proximity to leading research institutions
A strong innovation ecosystem
Access to natural mountain landscapes and outdoor recreation

NAVER LABS emphasizes a balanced environment combining research intensity with quality of life.

Application Requirements

Applicants are required to submit:

Updated CV
Cover letter
Supporting documents as requested in the application portal

Incomplete applications will not be considered.

Conclusion

The NAVER LABS Europe research internship represents a highly competitive opportunity for advanced students and early-career researchers interested in large language model alignment, controlled generation, and machine learning theory. The role is designed for individuals aiming to contribute to foundational AI research with real-world impact and academic relevance.

VISIT OFFICIAL WEBSITE TO APPLY

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Disclaimer: Global South Opportunities (GSO) is not the organization offering this opportunity. For any inquiries, please contact the official organization directly. Please do not send your applications & CVs to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.