Machine Learning Engineer
Core
Architect cutting-edge AI systems for the multi-scale design of physical technologies, simulating atomic motion and macroscopic fluid flow for 1GW data centers.
Role type
Senior IC machine learning engineer (scientific computing & industrial AI)
Builds
Foundation models for simulating microscopic atomic motion and macroscopic liquid flow; agentic workflows for computational chemistry simulations.
Domain
Industrial hardware, AI data centers, computational chemistry, materials science
Deliverable
production ML models | product features
Required skills
software engineering, training and deploying AI models at scale, system architecture, algorithm design, linear algebra, probabilistic concepts, debugging complex ML systems, hands-on coding
Preferred skills
physics-informed or chemistry-focused AI applications, large language model fine-tuning, agent-based systems and tool use, open-source ML contributions, published research
Technologies
foundation models, generative AI, scientific machine learning, agentic workflows
Responsibilities
Establish and maintain high standards for code quality, system architecture, and ML research practices; design robust systems balancing research velocity with production requirements; drive technical decisions on model selection, training approaches, and deployment strategies; develop and deploy AI solutions across the technology development pipeline; design and implement novel ML architectures for complex scientific domains; drive research projects from conception through to deployment.
Seniority
Senior, hands-on IC