CTO / Technical Co-Founder

About the role

Metaki is developing a Large Engineering Model that uses graph-neural-network surrogates to predict how complex 3D parts respond to physical conditions, aiming to replace traditional finite element simulation. The company is seeking a technical co-founder to lead the scaling of their modeling and engineering infrastructure while supporting fundraising and industrial pilot partnerships. This role involves taking ownership of the technical architecture and transitioning research pipelines into production-ready solutions.

Responsibilities

• Co-own the neural-network surrogate modeling pipeline including GNN training and fast inference.
• Scale the large 3D simulation dataset and physics-informed training infrastructure.
• Take technical ownership of architecture, ML engineering, and data pipeline decisions.
• Turn early industry discussions into validated industrial pilots by making the model production-ready.
• Support funding applications and strategic introductions with a technical narrative and roadmap.

Required skills

• Machine learning
• Graph neural networks
• Surrogate modeling
• Physics-informed ML
• Finite element simulation

Nice to have

• ML engineering
• Software engineering
• Solid mechanics
• Structural mechanics
• Applied research

Benefits

• Equity

About the Company

Metaki is a deep tech startup building a Large Engineering Model, a graph-neural-network surrogate trained on large-scale finite element simulation data to predict the response of complex 3D parts.