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- Tasks: Design and implement machine learning experiments for quantum computing challenges.
- Company: Join Quantinuum, the leading integrated quantum company with a focus on innovation.
- Benefits: Enjoy flexible working, 28 days holiday, equity, and parental benefits.
- Why this job: Be part of a pioneering team solving complex problems in the exciting field of quantum AI.
- Qualifications: Master’s or Ph.D. in relevant fields; experience in AI and quantum computing preferred.
- Other info: This is an entry-level, full-time role with opportunities for growth in a dynamic environment.
The predicted salary is between 28800 - 48000 £ per year.
Talent Pool Registration
At Quantinuum, we have formed a new team to implement our AI strategy. This team currently consists of 14 employees. We are now talent pooling for future positions in this team. Please register your interest, and we will get back to you when new roles open. Note that replies may not be immediate as all current positions have been filled.
About Quantum Computing and AI
Designing, building, programming, and using a quantum computer poses numerous challenges. Modern AI methods show promise in tackling them, requiring quantum computing scientists to identify use cases and design experiments.
Roles in the AI for Quantum Team
Machine Learning Scientist
Design ML experiments in collaboration with ML engineers and quantum scientists. Lead the development of tools applying AI to quantum computing, with access to Quantinuum’s quantum computers. Applications include circuit optimization, quantum algorithm design, and error mitigation strategies.
Machine Learning Engineer
Use state-of-the-art methods with quantum scientists to solve problems in the quantum stack, such as circuit compilation and error correction, and explore quantum advantage by integrating quantum computers with AI systems.
Responsibilities
- Research novel AI use cases for quantum program synthesis.
- Identify high-impact problems for Quantinuum.
- Collaborate with engineering, product management, and other teams.
- Represent the team at scientific and industry conferences.
Key Requirements
- Master’s or Ph.D. in relevant fields or equivalent experience.
- Experience in applied AI for scientific problems.
- Previous quantum computing experience.
- Knowledge of quantum advantage literature.
Desirable Skills
- Knowledge of quantum physics or related fields.
- Experience with large-scale machine learning and high-performance computing.
Benefits
Work with a talented team, competitive package, equity, paid holidays, pension, flexible working, and parental benefits.
About Quantinuum
Quantinuum is a leading quantum computing company, pioneering hardware and software solutions with around 500 employees. We are committed to accelerating quantum computing breakthroughs and are an equal opportunity employer.
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Machine Learning Scientists and Engineers: AI for Quantum (London) employer: Quantinuum
Contact Detail:
Quantinuum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientists and Engineers: AI for Quantum (London)
✨Tip Number 1
Familiarise yourself with the latest advancements in quantum computing and AI. This will not only help you understand the challenges faced by the team at Quantinuum but also allow you to engage in meaningful conversations during networking opportunities.
✨Tip Number 2
Connect with current employees on platforms like LinkedIn. Engaging with them can provide insights into the company culture and the specific skills they value, which can be beneficial when preparing for interviews.
✨Tip Number 3
Attend industry conferences and workshops related to quantum computing and machine learning. These events are great for networking and may even give you a chance to present your own work, showcasing your expertise to potential employers.
✨Tip Number 4
Stay updated on the latest research papers and publications in the field of AI for quantum computing. Being knowledgeable about recent findings can help you stand out as a candidate who is genuinely passionate about the subject.
We think you need these skills to ace Machine Learning Scientists and Engineers: AI for Quantum (London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Machine Learning Scientist and Engineer roles. Familiarise yourself with the specific skills needed, such as experience in quantum computing and AI applications.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your educational background, particularly if you have a Master’s Degree or Ph.D. in a related field, and any previous work with quantum computing or AI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for quantum computing and AI. Discuss specific projects or experiences that demonstrate your ability to solve complex problems and collaborate with teams, as these are key aspects of the role.
Prepare for Technical Questions: Be ready to discuss your technical knowledge and problem-solving abilities during the application process. Brush up on quantum computing concepts and be prepared to explain how you would apply machine learning techniques to real-world quantum challenges.
How to prepare for a job interview at Quantinuum
✨Understand Quantum Computing Basics
Before your interview, make sure you have a solid grasp of quantum computing fundamentals. Familiarise yourself with key concepts and terminology, as this will help you engage in meaningful discussions about the role and demonstrate your genuine interest in the field.
✨Showcase Your AI Experience
Be prepared to discuss specific projects where you've applied AI techniques to solve scientific problems. Highlight any relevant experience with machine learning models, especially in relation to quantum computing, as this will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of machine learning algorithms. Brush up on your knowledge of circuit optimisation and error correction strategies, as these are crucial for the role.
✨Demonstrate Collaboration Skills
Since the role involves working closely with engineers and scientists, be ready to share examples of how you've successfully collaborated in past projects. Emphasise your ability to communicate complex ideas clearly and work effectively in a team environment.
