AI Researcher — LLMs & Generative AI Innovator

PLP Group; Utrecht; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

Domyn is seeking an exceptional AI Researcher to advance large language models and generative AI. You will conduct groundbreaking research, design new ML techniques for LLMs, and collaborate with engineers and product teams to translate research into real-world applications.

You will publish in top AI venues, mentor junior researchers, and contribute to responsible AI practices, bias mitigation, and transparent model development.

Qualifications

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related field (Master's with exceptional research also considered).
• Strong publication record in top AI venues (NeurIPS, ICML, ACL, ICLR).
• Deep understanding of ML, DL, transformers, and language models.

Responsibilities

• Conduct cutting-edge NLP and language-model research to advance SOTA in LLMs.
• Design and implement novel ML algorithms for LLMs.
• Analyze large text datasets and report insights.
• Collaborate with engineers, data scientists, and product managers to translate research into applications.
• Stay updated with AI research through papers and conferences.
• Publish findings in top journals/conferences to enhance Domyn reputation.
• Develop prototypes to demonstrate feasibility of new approaches.
• Mentor junior researchers and contribute to team growth.
• Address bias, fairness, and transparency in language models.

Skills

LLM Research

Deep Learning

NLP

Stat & Math

Python

Distributed Training

Education

PhD in CS/AI/ML

Exceptional Masters with strong research

Tools

PyTorch

TensorFlow

Job description

Domyn is seeking an exceptional AI Researcher to advance large language models and generative AI. You will conduct groundbreaking research, design new ML techniques for LLMs, and collaborate with engineers and product teams to translate research into real-world applications.

You will publish in top AI venues, mentor junior researchers, and contribute to responsible AI practices, bias mitigation, and transparent model development.