Role DescriptionThis role is on-site in
Palo Alto, CA.The work we are doing has meaningful impact across industries, and every hire at Nace AI plays a critical role in shaping the company's trajectory. This is a unique opportunity to join a high conviction AI company at an early stage and directly influence its growth.
If building a world-class AI team from the ground up excites you, we'd love to talk.
Minimum Qualifications- 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- 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
