Materials AI Foundation Model Engineer

present of AI; Cambridge; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

CuspAI in Cambridge, UK seeks a scientist-Engineer to train and evaluate large AI models that learn from crystal structures, materials data, text and images. You own models from data to production, balancing experimental work with reliable, production-ready code.

The role involves multi-GPU distributed training, exploration of representation learning, LLM post-training or RL approaches, and collaboration with chemists to turn model outputs into lab decisions.

Qualifications

• Solid software engineering habits and hands-on experience with distributed training on many GPUs.
• Depth in representation learning or language model post-training or reinforcement learning.
• Ability to own models from data through to production integration.

Responsibilities

• Train and judge large AI models that learn from crystal structures, materials data, text and images.
• Balance experiments with production-quality code and robust evaluation.

Skills

Distributed training

Representation learning

LLM fine-tuning

RL post-training

Production-grade code

Job description

CuspAI in Cambridge, UK seeks a scientist-Engineer to train and evaluate large AI models that learn from crystal structures, materials data, text and images. You own models from data to production, balancing experimental work with reliable, production-ready code.

The role involves multi-GPU distributed training, exploration of representation learning, LLM post-training or RL approaches, and collaboration with chemists to turn model outputs into lab decisions.