Machine Learning Research Engineer

The role

You will architect cutting-edge AI systems for the multi-scale design of physical technologies. This involves building foundation models for simulating microscopic atomic motion and macroscopic liquid flow.

What you will do

• Establish and maintain high standards for code quality, system architecture and ML research and engineering practices
• Design robust, well-engineered systems
• Drive technical decisions on model selection, training approaches and deployment strategies
• Develop and deploy AI solutions across the technology development pipeline
• Upskill in new technical areas through collaboration with domain experts
• Contribute significantly to the codebase through hands-on development
• Design and implement novel ML architectures for complex scientific domains
• Drive research projects from conception through to deployment

Required qualifications

• Significant software engineering and ML experience
• Depth in training, evaluating and deploying AI models demonstrated through industry work
• Proven experience training, evaluating and productionising AI models at scale
• Deep understanding of the full ML lifecycle from research to deployment
• Strong engineering fundamentals
• Ability to write high-quality, maintainable code and architect robust systems
• Ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs
• Ability to debug complex machine learning systems
• Genuine interest in building AI systems that enable breakthrough scientific and industrial applications
• Resonate with quotes from Hamming's You and Your Research

Nice to have

• Experience with physics-informed or chemistry-focused AI applications
• Experience building or fine-tuning large language models
• Experience with agent-based systems, tool use or agentic workflows
• Contributions to open-source ML projects or published research

About the company

Orbital Industries is an AI Industrial company with frontier AI embedded in the production of critical physical products. They use CurieOS, an AI operating system, to unite AI-automated hardware engineering with AI-designed material science.