Machine Learning Scientists and Engineers: AI for Quantum

At Quantinuum we have formed a new team to implement our AI strategy. This team now consists of a group of 14 employees. We are now talent pooling for future positions in this team. Please register your interest and will will get back to you when new roles open in this team! Please note replies may not be immediate as all the current position have been filled! Designing, building, programming, and using a quantum computer poses numerous challenges. Modern AI methods show promise in tackling them, and such a project requires quantum computing scientists to identify use cases and design experiments. As a Machine learning scientist in the AI for Quantum team, you will design ML experiments, in collaboration with ML engineers and quantum computing scientists, leading the development of tools and frameworks applying AI techniques to quantum computing to solve hard problems in the quantum computing stack. Specifically, the successful applicant will have access to Quantinuum's highest quality quantum computers. Example applications can include circuit optimisation, designing quantum algorithms and error mitigation or correction strategies, and in general setups in which AI models work in synergy with quantum computers to solve problems inaccessible to either technology independently. As a Machine learning Engineer in the AI for Quantum team, you will use state-of-the-art methods, in collaboration with quantum computing scientists, to solve hard problems arising in the full quantum computing stack, such as circuit compilation, searching for error-correcting codes, even identifying quantum advantage by providing the quantum computer as a backend to a tool-using AI system. Responsibilities: Scientist Research novel use cases of machine learning and AI for quantum program synthesis. Discover high impact problems which Quantinuum can uniquely solve. Collaborate closely with engineering team, product management, and other architects. Attend and speak at relevant scientific, technical and industry conferences where necessary. Engineer Develop software infrastructure to facilitate the application of ML methods to solve problems in the quantum computing stack. Write code to enable the running and recording of large-scale experiments in improving the quantum computing stack, using existing ML libraries when appropriate. Run experiments in improving the quantum computing stack. Key Requirements: Master's Degree or Ph.D in Physics, Computer Science, Chemistry, Applied Mathematics, or related engineering field or equivalent experience. Experience in applied AI for scientific problems. Previous quantum computing experience. Familiarity with literature regarding quantum advantage. Desirable Skills: Familiarity with quantum computing concepts, or a related field such as quantum many-body physics. Experience in large-scale machine learning (large language models, reinforcement learning) Experience leveraging high-performance computing (e.g. distributed multi-node, multi-GPU platforms).

Science Led, Enterprise Driven – Accelerating Quantum Computing Quantinuum is the world's largest integrated quantum company, pioneering powerful quantum computers and advanced software solutions. Quantinuum's technology drives breakthroughs in materials discovery, cybersecurity, and next-gen quantum AI. With approximately 500 employees, including 370+ scientists and engineers, Quantinuum leads the quantum computing revolution across continents. We unite best-in-class software with high-fidelity hardware to accelerate quantum computing. With integrated full-stack technology, our world-class team is rapidly scaling quantum computing. We're hiring the world's best talent to make it happen. Join us! Quantinuum recently secured $300m in funding, visit our news pages to learn more about this and other Quantinuum scientific breakthroughs and achievements:https://www.quantinuum.com/news