Research Engineer (Materials Foundation Models)
AI
CuspAI is seeking Research Engineers to train and evaluate foundation models for materials discovery, working on representation learning over crystal structures, LLM fine-tuning and post-training, and evaluation/data work. The role involves building and training multi-modal foundation models at massive scale on terabytes of scientific data, collaborating closely with chemists and materials scientists. Candidates should have strong software engineering skills and hands-on experience training or evaluating large models in distributed settings.
What you'll do
- Design and run experiments: scaling studies, ablations and evaluations that settle which modelling choices survive.
- Lead efforts in parallel training of multi-modal foundation models at scale (e.g. orchestrating parallel training across hundreds of GPUs and handling data in the order of Terabytes).
- Apply strong software engineering best practices to ensure the systems are scalable, reliable, and maintainable.
What you need
Must-have
Software EngineeringDistributed TrainingLarge-scale VisionRepresentation LearningLLM Pre-trainingLLM Post-trainingReinforcement LearningSelf-supervised Learning
Nice-to-have
RLHFGRPOAgentic RLMaterials ScienceChemistryMolecular Informatics
Soft skills
Proactive learningCollaborationCommunicationInterdisciplinary teamwork
Research EngineerMaterials ScienceFoundation ModelsAIMachine LearningLLMRepresentation LearningHybridAmsterdamCuspAI