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Cuspai

Research Engineer (Materials Foundation Models)

Who can apply: Only open to applicants in: Delaware.
Location as listed by the employer: “Cambridge, UK; Amsterdam, NL; Cambridge, UK; Berlin, DE; United Kingdom; Netherlands; United Kingdom; Germany”
Apply on Cuspai's site ↗

Opens the employer's official application page.

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About this role

Cuspai is hiring for a Research Engineer (Materials Foundation Models) role (full-time). See the official posting for full details.

Requirements

  • You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that CuspAI is bu…
  • 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. For senior candidates this means having led a multi-hundred-GPU training effort; for earlier-career candidates, having been a core contri…
  • Depth in at least one of: large-scale vision or representation learning, LLM pre-training or post-training, reinforcement learning. We care more about one substantial, scale-y project than about breadth.
  • A deep interest in the connection between AI and materials science or chemistry, and a willingness to rapidly learn the scientific vocabulary of the discipline.
  • Master’s or PhD in CS, ML or a related quantitative field, or equivalent experience. We are hiring across levels: from strong early-career research engineers (typically 1 to 3 years at a frontier lab or equivalent) to s…
  • Experience with representation learning and computer vision, e.g. self-supervised or contrastive pre-training, learning embeddings, or building models that pull structured information out of images such as figures, plot…

Summarized from the employer's posting — check the full posting for every requirement.