Research Engineer

About the Role

We're looking for a Research Scientist to advance the core methods behind Nace AI's Small Language Models and metamodel framework. You'll work at the intersection of research and production, designing novel approaches to LLM adaptation, meta-learning, and hypernetworks, then carrying them from experimentation into systems that power Nace Data Intelligence and the Nace SLM Cloud.

This is a hands-on role on a small, high-caliber team. You'll own research problems end to end: framing the question, running rigorous experiments, publishing or open-sourcing where it makes sense, and partnering closely with engineering to ship what works. Your work will directly shape how enterprises build customized, secure intelligence on our stack.

Minimum Qualifications

• 3+ years of combined research and engineering experience in machine learning, including hands-on work with language models.Direct experience working with Large Language Models (LLMs) or Vision-Language Models (VLMs) in research or production settings
• Strong research background in Natural Language Processing, Machine Learning, or related disciplines with focus on language modeling
• Proven track record in solving complex problems in language understanding, generation, or multimodal AI using rigorous quantitative methodologies
• Demonstrated ability to clearly communicate research findings to diverse technical audiences
• Proficient programming skills in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow), with experience in distributed training and model optimization

Preferred Qualifications

• 5+ years of experience conducting applied ML research, with a sustained record of taking novel methods from experimentation to working systems.
• PhD in Computer Science, Computational Linguistics, or closely related field with focus on language models and adaptive learning systems
• Proven research and engineering experience with LLMs/VLMs, particularly in meta-learning or parameter-efficient adaptation, as evidenced by grants, fellowships, patents, internships, or contributions to open-source projects
• First authored publications on language models, meta-learning, hypernetworks, or adaptive AI in recognized peer-reviewed conferences (ACL, EMNLP, NeurIPS, ICML, ICLR) or journals
• Kaggle experience is a plus.

Preferred Technical Experience

• Research expertise in LLM reasoning, hypernetworks, multi-task learning, meta-learning, designing novel LLM adaptation methods, Online Continual Learning