Cuspai
Research Engineer (Materials Foundation Models)
Cambridge, UK, Remote. Posted a month ago
The role
Research Engineers will build and train specialized foundation models on terabytes of scientific data. You will design experiments, lead parallel training of multi-modal models, and partner with chemists to integrate workflows.
What you will do
- Design and run experiments including scaling studies, ablations and evaluations
- Lead efforts in parallel training of multi-modal foundation models at scale
- Apply software engineering best practices for scalable and reliable systems
- Own data curation and evaluation design for models
- Partner with Chemists and Materials Scientists to integrate workflows
- Learn the technical vocabulary of materials science and experimental chemistry
Required qualifications
- Strong software engineering skills with a track record of building complex, high-performance systems at scale
- Hands-on experience training or evaluating large models in a distributed setting
- Depth in at least one of: large-scale vision or representation learning, LLM pre-training or post-training, reinforcement learning
- Deep interest in the connection between AI and materials science or chemistry
- Master’s or PhD in CS, ML or a related quantitative field, or equivalent experience
- Experience with representation learning and computer vision
Nice to have
- RL for post-training (RLHF, GRPO-style methods) or RL in agentic settings
- Experience at a frontier lab or a team that ships models at scale
- Prior experience applying machine learning models specifically to problems in materials science, chemistry, or molecular informatics
- Exposure to multi-modal training
Benefits
- Competitive salary
- Equity in CuspAI
- 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
- 26 weeks parental leave for primary caregiver at full pay
- 12 weeks parental leave for secondary caregiver at full pay
- Professional development budget
About the company
CuspAI is a frontier AI company working to solve breakthrough materials needs using AI. The founding team consists of researchers in AI, chemistry and engineering.