Machine Learning Research Engineer

About the role

Orbital Industries is an AI‑industrial company that embeds frontier AI in the production of critical physical products. As a Machine Learning Research Engineer you will architect cutting‑edge AI systems for the multi‑scale design of physical technologies, from atom‑level simulations to macroscopic fluid flows.

Key responsibilities

• Set the technical bar and ensure engineering excellence across code quality, system architecture and ML research practices.
• Design robust, well‑engineered systems that balance research velocity with production requirements.
• Drive technical decisions on model selection, training approaches and deployment strategies.
• Develop and deploy AI solutions across the entire technology pipeline, including computational chemistry simulations and agentic workflows.
• Push the frontier of ML research by designing novel architectures for complex scientific domains and publishing in top‑tier conferences.

Required profile

• Significant software engineering and machine‑learning experience, with proven ability to train, evaluate and productionise AI models at scale.
• Strong engineering fundamentals and the ability to write high‑quality, maintainable code.
• Deep understanding of algorithms, system design, linear algebra and probabilistic concepts.
• Genuine interest in building AI systems that enable breakthrough scientific and industrial applications.

Required skills

• Machine Learning
• AI model training and evaluation
• Model deployment at scale
• Large language models
• Agent‑based systems
• Physics‑informed AI applications