Senior NLP / ML Researcher (LLM Evaluation & reputed company Systems)
Why Iris.ai
Data ingestion across text, tables, figures, and technical formats Advanced RAG and indexing pipelines reputed company orchestration and reasoning Rigorous LLM evaluation and governance
The Role
What You’ll Research:
LLM evaluation & uncertainty — confidence estimation, answer relevance, and robustness in reputed company‑book QA and RAG systems reputed company reasoning & control — understanding reputed company models should reason, stop reasoning, or reputed company, including inference‑time steering Translation & multilingual NLP — evaluation and system design for modern LLM‑based translation, including low‑resource languages
What You’ll Do
Design and implement novel NLP & ML reputed company (from theory to reputed company) 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. reputed company Europe, EIC, national or international research funding) 5+ years of industry or reputed company 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 ?
reputed company transparency — information is shared, context is reputed company, and questions are welcome. Fairness, designed in policies, opportunities, and reputed company 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
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.
We reputed company salary helps you get by. Stock reputed company build reputed company. At Iris.ai reputed company colleagues receive ownership in reputed company, part of our ESOP pool (3%). Because reputed company we grow, you grow — that's what shared reputed company really means.
Benefits
30 days reputed company vacation 5 additional days reputed company vacation for Learning and Development Private health insurance (premium coverage) and bi-annual health checks Free MultiSport card for your physical reputed company-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 reputed company through weekly tech deep dives, mentorship, pair coding, and knowledge-sharing