Machine Learning Scientist: Quantum for AI
- Employer
- Quantinuum UK
- Location
- London, UK / Hybrid
- Salary
- Unspecified
- Posted
- Sep 10, 2024
- Posting live until
- Oct 10, 2024
- Discipline
- AI, data science & machine learning, Computational science, HPC & software engineering, Quantum science & technology
- Job type
- Industry & business
Quantum computers provide access to data that is hard to obtain using classical means. AI methods, such as large language models or reinforcement learning, are powerful tools that have the potential to largely impact the way in which we solve scientific problems. AI models are trained on data, and so providing them access to quantum computers opens up opportunities for new scientific discoveries. Quantum computers also offer the potential for advantage in new machine learning architectures, such as quantum transformers. At Quantinuum we are currently forming a new team to implement our AI strategy, successful applicants will have the opportunity to help us build this.
As a ML Scientist in the Quantum for AI team, you will be in the unique position to use the world’s highest-fidelity quantum computers to explore the advantage of using AI trained on data obtained from our quantum computers. You will also define novel problems and research methods. For example, recent advances in shadow tomography and quantum learning theory provide a new playground for designing novel experiments for identifying quantum advantage at the intersection of AI and quantum computing.
Responsibilities:
- Work with quantum computing scientists and machine learning engineers to explore the advantage of using AI trained on data obtained from our quantum computers;
- Research new architectures for quantum AI and machine learning;
- Conduct experiments in areas such as NLP to see if quantum computing can offer any advantages over their classical counterparts.
Key Requirements:
- Master’s Degree or Ph.D in Physics, Computer Science, Computational Chemistry, Applied Mathematics, or related engineering field or equivalent experience;
- Experience in applied AI for scientific problems;
- Familiarity with quantum computing;
- Familiarity with the quantum machine learning literature and related quantum advantage results.
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).
What is in it for you?
Working alongside a highly talented team, with leading names in the quantum computing industry. We offer a highly competitive package, equity, 28 days of paid holiday (in addition to public holidays), a workplace pension, a positive approach to flexible working and enhanced parental and adoption benefits.
About Us:
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.
Please note that employment with us is subject to successfully passing our pre-employment screening checks. We are an inclusive equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status.