Join Iris.ai's research team to drive fundamental in-house research at the forefront of NLP. As a Senior NLP Research Engineer, you will stay current with AI/ML advances, design and optimize ML models, and engage with the AI community.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
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.
- 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
🌍 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
- 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
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