Senior NLP Research Engineer

Iris.ai is a pioneering AI-first company on a mission to transform how humans discover and apply knowledge. For over a decade, we’ve built intelligent systems that empower researchers, engineers, and product teams to work faster and more precisely with scientific and technical data.

Our product suite — Neuralith, Axion, and RSpace — supports end-to-end AI development, from data orchestration and retrieval to LLM evaluation and deployment. At the core of our work are Retrieval-Augmented Generation (RAG) pipelines, LLM Evaluation Frameworks, and intelligent AI Agents that bring context-awareness, accuracy, and task-level reasoning to applied AI.

Backed by the European Innovation Council (EIC) and trusted by leading R&D teams across industries, we turn advanced AI research into real-world tools that help organizations solve high-impact problems.

Job Description:

The rapid growth of Iris.ai’s product portfolio has created an exceptional opportunity to drive fundamental in-house research at the forefront of NLP. We are looking for a Senior NLP Research Engineer with deep expertise and a passion for breakthrough innovation to join our research team. This is a role for someone eager to explore uncharted territory in language technology within a fast-moving, intellectually stimulating startup environment, where advanced ideas quickly evolve into production-ready solutions and peer-recognized scientific contributions.

Core Technologies Include:

• Python (OOP) for research and production code
• ML/NLP frameworks such as PyTorch/TensorFlow and transformers
• AWS, Docker, and distributed systems for large-scale experimentation
• Integration with advanced LLM and API ecosystems (e.g., OpenAI)
• Git and modern CI/CD workflows for robust research engineering
• Research & Development: Stay current with AI/ML advances and apply them to create innovative solutions.
• Algorithm Development: Design, implement, and optimize ML models, including data prep, feature engineering, and tuning.
• Prototyping: Build prototypes and proof-of-concepts to validate ideas.
• Python (OOP) for research and production code
• ML/NLP frameworks such as PyTorch/TensorFlow and transformers
• AWS, Docker, and distributed systems for large-scale experimentation
• Integration with advanced LLM and API ecosystems (e.g., OpenAI)
• Git and modern CI/CD workflows for robust research engineering
• Research & Development: Stay current with AI/ML advances and apply them to create innovative solutions.
• Algorithm Development: Design, implement, and optimize ML models, including data prep, feature engineering, and tuning.
• Prototyping: Build prototypes and proof-of-concepts to validate ideas.

Job Responsibilities:

• Data & Evaluation: Oversee data collection/annotation and design experiments to evaluate and refine models.
• Documentation: Produce clear technical documentation for research findings, algorithms, and code.
• Ethics & Quality: Ensure responsible AI practices and implement best testing and QA standards.
• Community & Publications: Engage with the AI community through conferences and publish in relevant journals.
• PhD degree in Machine Learning, Computer Science or similar subject
• At least 5 years of relevant industry ML research experience
• Professional experience with ML and NLP projects
• Extensive knowledge and experience with NLP
• Data & Evaluation: Oversee data collection/annotation and design experiments to evaluate and refine models.
• Documentation: Produce clear technical documentation for research findings, algorithms, and code.
• Ethics & Quality: Ensure responsible AI practices and implement best testing and QA standards.
• Community & Publications: Engage with the AI community through conferences and publish in relevant journals.
• PhD degree in Machine Learning, Computer Science or similar subject
• At least 5 years of relevant industry ML research experience
• Professional experience with ML and NLP projects
• Extensive knowledge and experience with NLP

Requirements:

• Impeccable coding skills in Python
• Knowledge in object oriented programming, code optimization, distributed computation, and architecture design
• A record of publications in the ML or NLP fields.
• Located in European Timezone

Life At Iris Offers:

🌍 Impact

• Build responsible AI that shapes the future of science and tech
• Join a sharp, versatile team of ambitious builders
• Thrive in a flat structure with no corporate hierarchy, where every voice matters

💸 Compensation

• Competitive salary with annual reviews
• Stock options to share in our long-term success

🌍Work Your Way

• 30 days annual paid vacation + bonus days

• Flexible Work Hours

• Flexible work location - You choose where to work from
• Hybrid model or 100% remote work - You want it? - You have it!
• Regular Team building activities and travels
• Seasonal Working Camps (summer / winter)
• Personalized Work Equipment Allowance - choose your own Gear

🚀 Grow With Us

• Learning & Development Allowance - we will sponsor you to Join global conferences or take upskilling courses

• Career Enhancement Plan

• New technologies introduction & testing opportunities
• Knowledge transfer, Work buddies, PairCoding, Mentorship opportunities, weekly Tech Deep Dives

• Workshops, Conferences, Hackathons

• Freedom to bring innovation and your ideas to life

🎁 Wellbeing & Perks

• Annual budget for Health and Welness - choose your favourite health and sports providers
• Charity and volunteer activities