Materials Data Architect for AI-Driven Discovery

present of AI; Cambridge; Hybrid; GBP 65,000 - 100,000; Full time

Job summary

CuspAI, an AI search engine for new materials, seeks a Materials Knowledge Architect to turn messy scientific data into clean, structured representations and to design schemas and ingestion pipelines for materials data. You will work closely with product and data teams to ensure the data supports AI-powered discovery.

This role sits at the intersection of materials science and AI, building data representations that feed machine learning models for materials discovery and enabling faster, more

Qualifications

• Solid grounding in materials science.
• Experience designing schemas for scientific data.
• Experience designing ingestion pipelines for scientific data.
• Ability to turn messy data into clean, structured representations.

Responsibilities

• Design data representations that feed ML models for materials discovery.
• Collaborate with product and data teams to ensure usable data for AI models.
• Shape how physical property data and chemical designs are captured so models can use them effectively.

Skills

Materials science

Data modeling

Schema design

Data ingestion pipelines

Job description

CuspAI, an AI search engine for new materials, seeks a Materials Knowledge Architect to turn messy scientific data into clean, structured representations and to design schemas and ingestion pipelines for materials data. You will work closely with product and data teams to ensure the data supports AI-powered discovery.

This role sits at the intersection of materials science and AI, building data representations that feed machine learning models for materials discovery and enabling faster, more