NAVER LABS Europe has introduced a Research Internship in Constraining Large Language Models at Scale (F/M), scheduled for the second half of 2026. The internship relies in Meylan, close to Grenoble, France, and is designed for PhD candidates in Pc Science, Machine Studying, or Deep Studying, in addition to distinctive Grasp’s college students.
The place is a full-time, 5–6 month analysis internship throughout the firm’s Interactive Methods Group, which focuses on superior AI techniques able to secure and significant interplay with people and different brokers.
About NAVER LABS Europe
NAVER LABS Europe is the analysis and growth division of NAVER, a number one world expertise firm based mostly in Korea. NAVER operates throughout a number of domains together with:
- Search engines like google and yahoo and data retrieval techniques
- Digital commerce and fintech platforms
- Content material ecosystems
- Robotics and cloud applied sciences
The European analysis lab focuses on long-term AI innovation, significantly in areas involving human–robotic interplay, pure language processing (NLP), speech techniques, and clever data techniques.
The group emphasizes educational collaboration and participation in main machine studying and NLP analysis communities.
Analysis Focus: Constraining Massive Language Fashions
The internship facilities on a important problem in trendy synthetic intelligence: controlling the outputs of huge language fashions (LLMs).
Key analysis themes embody:
- Alignment of huge language fashions with human intent and security constraints
- Managed textual content era beneath complicated and structured circumstances
- Reinforcement studying methods for language mannequin optimization
- Probabilistic modeling for dependable AI output era
- Sustaining formal ensures in generative AI techniques
The venture builds on current analysis, together with Distributional Coverage Gradient strategies, and goals to discover scalable approaches for imposing constraints whereas preserving mannequin flexibility and efficiency.
Position Targets and Duties
The chosen intern will contribute to experimental and theoretical analysis within the following areas:
- Designing and implementing experiments on massive language fashions
- Growing algorithms for managed era beneath constraints
- Evaluating alignment strategies akin to RLHF and associated approaches
- Working with PyTorch for mannequin coaching and fine-tuning
- Conducting impartial analysis with minimal supervision
- Contributing to educational publications and technical outputs
The function is especially suited to candidates fascinated with mathematically grounded machine studying analysis combining concept and utilized experimentation.
Required Expertise and Profile
Candidates are anticipated to display sturdy technical competence within the following areas:
- Superior understanding of huge language fashions and coaching pipelines
- Robust proficiency in PyTorch
- Familiarity with reinforcement studying and alignment methods (e.g., RLHF)
- Capacity to independently design and execute machine studying experiments
- Robust analytical and mathematical reasoning expertise
Candidates are anticipated to be extremely autonomous and able to working in a research-driven atmosphere.
Analysis Setting and Publications
NAVER LABS Europe highlights a robust observe file of educational output, with former interns incessantly contributing as first authors in main conferences and journals akin to ICLR, ICML, NeurIPS, and ACL.
Notable analysis areas embody:
- Managed textual content era frameworks
- Vitality-based and distributional modeling methods
- Alignment strategies for language fashions with out catastrophic forgetting
- Sampling and divergence-based optimization approaches
- Toolkit growth for generative mannequin management
This internship gives publicity to cutting-edge analysis and alternatives to co-author peer-reviewed publications.
What the Internship Presents
NAVER LABS Europe gives a research-intensive and collaborative atmosphere supported by many years of experience in synthetic intelligence.
Key advantages embody:
- Participation in high-impact AI analysis tasks
- Collaboration with worldwide researchers and scientists
- Versatile work-life steadiness
- Entry to superior AI analysis infrastructure
- Alternatives for tutorial publishing and convention participation
- Coaching and talent growth in superior machine studying strategies
The group additionally promotes an inclusive and merit-based working tradition.
Location and Work Setting
The internship relies in Meylan, France, close to Grenoble, a significant European hub for science and expertise. The area affords:
- Proximity to main analysis establishments
- A powerful innovation ecosystem
- Entry to pure mountain landscapes and outside recreation
NAVER LABS emphasizes a balanced atmosphere combining analysis depth with high quality of life.
Utility Necessities
Candidates are required to submit:
- Up to date CV
- Cowl letter
- Supporting paperwork as requested within the software portal
Incomplete functions is not going to be thought of.
Conclusion
The NAVER LABS Europe analysis internship represents a extremely aggressive alternative for superior college students and early-career researchers fascinated with massive language mannequin alignment, managed era, and machine studying concept. The function is designed for people aiming to contribute to foundational AI analysis with real-world influence and educational relevance.
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Disclaimer: Global South Opportunities (GSO) shouldn’t be the group providing this chance. For any inquiries, please contact the official group straight. Please don’t ship your functions & CVs to GSO, as we’re unable to course of them. Because of the excessive quantity of emails, we obtain each day, we might not be capable to reply to all inquiries. Thanks to your understanding.
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