Quantum Machine Learning Researcher (Remote)

Xanadu; Toronto; Remote; CAD 80,000 - 130,000; Full time

Job summary

Xanadu is seeking a Quantum Machine Learning Researcher to join its innovative Algorithms group. The successful candidate will push the boundaries of quantum machine learning and engage extensively with the scientific community. This role requires a PhD in a relevant field, a strong publication record, and a solid understanding of both machine learning and quantum computing.

Qualifications

• PhD in a relevant field.
• Demonstrated research accomplishments.
• Solid theoretical understanding of quantum computing.

Responsibilities

• Contribute core ideas to quantum machine learning research.
• Produce high-quality research papers.
• Work in collaboration with scientists and software developers.

Skills

Machine Learning Theory

Quantum Computing

Technical Communication

Project Management

Education

PhD in Computer Science, Physics, Data Science, or related field

Job description

Quantum Machine Learning Researcher (Remote)

Xanadu’s mission is to build quantum computers that are useful and available to people everywhere.

At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers. We are creating something that has never been built before. What we are doing is extremely hard, the classic moon shot. Few people in their life will be able to be a part of something like this, where if we are successful, the technologies we develop will solve some of the world’s most challenging problems, and literally change the world. And that is something to be excited about!

Your role and responsibilities:

As a Quantum Machine Learning Researcher at Xanadu, you will be part of Xanadu's Algorithms group, working in collaboration with our team of scientists and software developers. Your goals are to contribute core ideas that push the boundaries of quantum machine learning research, and that enable the usefulness of quantum computers for learning tasks one day. You produce high-quality papers on relevant topics and keep closely involved with the scientific community to identify new developments.

• You are driven by the goal of understanding how quantum computers can be used for machine learning, and how techniques from machine learning can empower quantum algorithms.
• You have an interest in the practical utility of quantum technologies.
• You enjoy working with fundamental theory, but routinely test your understanding using carefully designed experimental implementations.
• You are not afraid to think critically and challenge popular assumptions.
• You are open to working on problems outside of your area of expertise.
• You are comfortable conducting research in an interdisciplinary team environment, as well as independently when required.
• You are guided by a sense of urgency and excellence.

Qualifications and experience:

• PhD in Computer Science, Physics, Data Science, or related field.
• Track record of research accomplishments, demonstrated by your peer-reviewed publications and presentations.
• Deep understanding of machine learning, which includes knowledge of machine learning theory and practical experience in training models.
• Solid theoretical understanding of quantum computing and quantum theory, and some experience in working with quantum software.
• Ability to communicate technical concepts clearly and effectively.
• Ability to manage individual project priorities, deadlines, and deliverables while working in a fast-paced environment.

Our values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values here .

At Xanadu, we are committed to building an inclusive, safe, and equitable culture and fostering an environment where our employees feel included, valued, and heard. We are committed to meeting the needs of all individuals and support a barrier-free workplace. Should you require accommodations at any point during the recruitment process please contact Recruiting at [e-mail] .

Note: Xanadu will never ask you for bank account information as part of the interview process. Please report any suspicious activity to [e-mail] .

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