Research Engineer (Materials Foundation Models)
CuspAI· AI/ML
Hybrid (Cambridge, UK), Hybrid (Amsterdam, NL), Hybrid (London, UK), Hybrid (Berlin, DE)Full-timePosted 1w ago
About the role
Researchers to train and evaluate foundation models for materials discovery, enabling multi-modal representations over crystal structures, properties, text, and images at scale.
Responsibilities
- Design and run experiments: scaling studies, ablations and evaluations that settle modelling choices.
- Lead efforts in parallel training of multi-modal foundation models at scale (orchestrating parallel training across hundreds of GPUs and handling data in the order of Terabytes).
- Apply strong software engineering best practices to ensure systems are scalable, reliable, and maintainable.
- Own the data curation and evaluation design for your models; these outlast the modelling decisions.
- Partner closely with Chemists and Materials Scientists to integrate computational and experimental workflows into one seamless optimisation loop.
- Be proactive in learning the technical vocabulary of materials science and experimental chemistry to facilitate meaningful interactions with domain experts.
- Contribute to mission by ensuring system designs align with sustainability and world-changing challenges.
Qualifications
- Strong software engineering skills and a proven track record of building complex, high-performance systems at scale in a production or industrial environment.
- Hands-on experience training or evaluating large models in a distributed setting (multi-hundred-GPU training for senior; core contributor for earlier-career).
- Depth in at least one of: large-scale vision or representation learning, LLM pre-training or post-training, reinforcement learning.
- A deep interest in the connection between AI and materials science or chemistry, and willingness to rapidly learn the scientific vocabulary.
- Master’s or PhD in CS, ML or related quantitative field, or equivalent experience (roles span from early-career to senior and staff).
- Experience with representation learning and computer vision (self-supervised or contrastive pre-training, embeddings, or extracting structured information from images such as figures and diagrams).
Skills
Required:Software engineering for large-scale systemsDistributed model trainingRepresentation learning / Vision
Benefits
- A competitive salary
- Equity in CuspAI
- Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US) plus public holidays
- Gold Standard parental leave: 26 weeks primary, 12 weeks secondary
- Professional development budget
- Solve meaningful problems with bleeding-edge technology
- Interdisciplinary teamwork across AI research, computational chemistry, and experimental science
Last updated Oct 15, 2026. Interested? Apply on the company site.
About CuspAI
CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress.
CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress.
AImaterials
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