Lead NLP / ML Researcher, LLM Evaluation, Agentic Systems

This is a fully remote position, open to applicants in Norway.

📋 Description

• Oversee the research strategy at Iris.ai focused on LLM evaluation and interpretability.

• Develop innovative evaluation techniques, metrics, and experimental structures.

• Conduct thorough experiments, benchmarking, and ablation studies.

• Convert research findings into prototypes and production capabilities.

• Offer scientific direction to both researchers and engineers.

• Work closely with product and engineering teams.

• Publish research and actively participate in the AI research community.

• Lead and co-author research grant proposals for EU and national funding.

• Write and disseminate research articles.

• Mentor interns and supervise master's thesis students.

• Investigate topics such as LLM grounding, faithfulness, task adherence, mechanistic interpretation, model interpretability, uncertainty and confidence, evaluation frameworks, agentic reasoning and control, as well as translation and multilingual NLP.

⛳️ Requirements

• PhD in Machine Learning, Natural Language Processing, Computer Science, or a related discipline.

• Extensive hands-on experience with R&D grants and proposal writing, including Horizon Europe, EIC, and national or international research funding.

• Over 5 years of industry or applied research experience.

• Strong foundation in NLP, with knowledge of transformers, semantic search, and RAG.

• Practical experience with LLMs and their evaluation processes.

• Robust software engineering skills, particularly in Python.

• Publications in Machine Learning or NLP conferences or journals.

• Ability to work within European time zones.

• Proficient in Python OOP practices.

• Familiarity with PyTorch, Transformers, TensorFlow, Hugging Face, custom and fine-tuned models, RAG pipelines, multi-agent frameworks, evaluation tools, AWS, Docker, HPC, Git, CI/CD, and reproducible research workflows.

🏝️ Benefits

• 30 days of paid vacation.

• 5 additional days of paid vacation dedicated to Learning and Development.

• Comprehensive private health insurance (premium coverage) and bi-annual health checks.

• Complimentary MultiSport card for fitness and well-being.

• Remote-first work environment with flexible hours to optimize your productivity.

• Personal annual learning budget for conferences, courses, or certifications.

• Personal equipment budget to select the tools that fit your preferences.

• Opportunities for charity and volunteer activities.

• Seasonal working camps (summer & winter) and team retreats.

• Continuous development through weekly tech deep dives, mentorship, pair coding, and knowledge-sharing.

• Salaries generally 25% above local market averages, with annual reviews.

• Stock options available through the ESOP pool (3%); all employees receive a stake in the company.