Orbital - Staff Machine Learning Researcher

• 5+ years of professional experience in ML/AI research or engineering. • A relevant PhD + 2 years of professional experience in ML/AI research or engineering. • Proven experience training, evaluating and productionising AI models at scale, with deep understanding of the full ML lifecycle from research to deployment • Strong engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems • A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs • An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations • A genuine interest in building AI systems that enable breakthrough scientific and industrial applications • Upon reading Hamming's You and Your Research, you resonate with quotes such as: • "Yes, I would like to do first-class work" • "You should do your job in such a fashion that others can build on top of it, so they will indeed say, 'Yes, I've stood on so and so's shoulders and I saw further.'" • "Instead of attacking isolated problems, I made the resolution that I would never again solve an isolated problem except as characteristic of a class" • Bonus: 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.