Nace AI
Research Engineer
Palo Alto, CA · On-site · Full-time · Posted Mar 17, 2026
- Experience
- 3+ years combined research and engineering experience required; 5+ years applied ML research preferred.
- Education
- PhD in Computer Science, Computational Linguistics, or a closely related field preferred.
About the job
Advances Nace AI’s Small Language Models and metamodel framework by researching new adaptation methods and taking successful experiments into production systems.
What you'll do
- Design and test approaches to LLM adaptation, meta-learning, and hypernetworks.
- Own research problems from framing and rigorous experimentation through publishing or open-sourcing where appropriate.
- Partner with engineering to ship research that powers Nace AI products.
What they ask for
- 3+ years of combined machine learning research and engineering experience, including hands-on language model work.
- Direct research or production experience with Large Language Models (LLMs) or Vision-Language Models (VLMs).
- Strong research background in NLP, machine learning, or a related discipline focused on language modeling; proven quantitative problem-solving in language understanding, generation, or multimodal AI.
- Proficient in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow), with distributed training and model optimization experience; able to communicate findings clearly.
Nice to have
- 5+ years conducting applied ML research; PhD in a related field; relevant research or engineering contributions and first-authored publications.
- Kaggle experience; technical experience in LLM reasoning, hypernetworks, multi-task learning, meta-learning, novel LLM adaptation, or Online Continual Learning.
Tools
Python, PyTorch, JAX, TensorFlow
AI focus
Research and production development of Small Language Models, LLM adaptation, meta-learning, hypernetworks, and the metamodel framework.
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