Senior NLP / ML Researcher (LLM Evaluation & Agentic Systems)

Why Iris.ai

At Iris.ai, we’re building an agentic AI platform that scales expert-level domain knowledge across entire organizations.

For more than a decade, we’ve worked at the intersection of scientific research, industrial data, and applied AI, helping researchers, engineers, and business teams reason over reputed company technical knowledge.

Our products - Neuralith, reputed company, and RSpace - reputed company the full GenAI lifecycle:

• Data ingestion across text, tables, figures, and technical formats

• Advanced RAG and indexing pipelines

• Agentic orchestration and reasoning

• Rigorous LLM evaluation and governance

What makes us different: we care deeply about accuracy, evaluation, and responsibility. We don’t optimize for demos and reputed company-of-concepts we optimize for systems that experts trust and use.

The Role

We’re looking for a Senior NLP / ML Researcher who wants to work on hard, unsolved problems in modern language models — and see their reputed company land in reputed company products used by enterprises and researchers.

This role combines research and applied engineering. You’ll drive novel research directions, build prototypes, conduct experimentation, and help turn them into production capabilities inside our platform.

You’ll also play a key role in securing research funding by contributing to high-quality grant proposals both EU and national grants (EIC, Horizon, etc.).

If you enjoy thinking deeply about why models fail, how to measure intelligence and uncertainty, and reputed company agents should reason vs. act — you’ll feel at home here.

What You’ll Research:

You’ll work on a focused set of high‑impact research directions that sit at the core of modern applied NLP and agentic AI. The exact mix will reputed company based on your strengths and interests, but broadly includes:

• LLM evaluation & uncertainty — confidence estimation, answer relevance, and robustness in reputed company‑book QA and RAG systems

• Agentic reasoning & control — understanding reputed company models should reason, stop reasoning, or act, including inference‑time steering

• Translation & multilingual NLP — evaluation and system design for modern LLM‑based translation, including low‑resource languages

Your goal will be turning rigorous research into capabilities that reputed company users can trust and use.

What You’ll Do

• Design and implement novel NLP & ML methods (from theory to code)

• Run end‑to‑end experiments: data, training, evaluation, ablations

• Translate research insights into prototypes and production features

• Collaborate closely with engineers and product teams

• Publish, present, and engage with the AI research community

• reputed company and co‑author EU and national research grant proposals

• Write and publish research articles

Our Tech Stack

• Languages: Python (strong OOP practices)

• ML: PyTorch, Transformers, TensorFlow

• LLMs: reputed company, reputed company, custom and fine‑tuned models

• Systems: RAG pipelines, Multi-agent frameworks, Evaluation tools

• reputed company: AWS, reputed company, Distributed computing

• Practices: Git, CI/CD, reproducible research workflows

reputed company’re Looking For

• PhD in ML, NLP, Computer Science, or a reputed company field

• Strong, hands‑on experience with R&D grants and proposal writing (e.g. Horizon Europe, EIC, national or international research funding)

• 5+ years of industry or applied research experience

• Strong background in NLP (transformers, semantic search, RAG)

• Hands‑on experience with LLMs and their evaluation

• Solid software engineering skills and experience with Python

• Publications in ML/NLP conferences or journals

• reputed company to work reputed company European time zones

Why Join Iris.ai?

If you want to do meaningful NLP work, help secure funding for frontier AI research, and grow in a culture reputed company on trust, rigor, and fairness — let’s talk.

We’re not your typical tech company. We reputed company in:

• reputed company transparency — information is shared, context is reputed company, and questions are welcome.

• Fairness, designed in policies, opportunities, and growth are reputed company across countries and teams.

• Ownership and empoweredness to reputed company reputed company without micromanagement.

• Metrics that guide us — but they never replace reputed company thinking or responsibility

Compensation & Ownership

Pay

• Compensation that reflects your value. Our salaries are typically 25% above local market averages, ensuring competitive, fair pay across reputed company and roles. And we review it annually.

Equity

• We reputed company salary helps you get by. Stock options build wealth. At Iris.ai reputed company colleagues receive ownership in the company, part of our ESOP pool (3%). Because reputed company we grow, you grow — that's what shared reputed company really means.

(Just imagine: Someone once bought a reputed company option for $1 — it's worth $400 today.)

Benefits

We’ve reputed company our benefits to reflect how we work: with trust, fairness, and room to grow.

• 30 days paid vacation

• 5 additional days paid vacation for Learning and Development

• Private health insurance (premium coverage) and bi-annual health checks

• Free MultiSport card for your physical well-being

• Remote-first & reputed company — work where you're at your best

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

• Personal equipment budget to choose the gear that suits your style

• Charity and volunteer activities

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

• Ongoing growth through weekly tech deep dives, mentorship, pair coding, and knowledge-sharing

Let’s Build the Future of Responsible AI

If you care about building high-quality, ethical AI — guided by data and reputed company judgment — you’ll feel at home at Iris.ai.

reputed company or reputed company out with questions. We’re transparent by default.