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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.
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.
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.
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
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
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
Competitive salary with annual reviews
Stock options to share in our long-term success
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
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
Annual budget for Health and Welness - choose your favourite health and sports providers
Charity and volunteer activities