Machine Learning Engineer
Core
Architecting cutting-edge AI systems for the multi-scale design of physical technologies, including foundation models for simulating atomic motion and liquid flow in data centers.
Role type
Senior IC Machine Learning Engineer (AI for physical sciences)
Builds
World-class foundation models for simulating microscopic and macroscopic physical phenomena; AI-automated hardware engineering systems.
Domain
Industrial AI, computational chemistry, materials science, data center infrastructure.
Deliverable
production ML models
Required skills
System architecture, hands-on coding, model selection, training approaches, deployment strategies, novel ML architecture design, research rigour, technical leadership, rapid upskilling.
Preferred skills
Passion for physical technology, curiosity in AI, craftsmanship, low ego.
Technologies
AI platforms, computational chemistry simulations, agentic workflows.
Responsibilities
Set technical standards for code quality and system architecture; design robust systems balancing research velocity with production requirements; drive technical decisions on model selection and deployment; deliver high-impact AI projects across diverse domains; develop and deploy AI solutions across the technology development pipeline; push the frontier of ML research; design and implement novel ML architectures for complex scientific domains; drive research projects from conception through to deployment.
Seniority
Senior, hands-on IC with technical leadership