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Terra Quantum Applied Researcher Quantum Machine Learning
Edit resume: here on google drive. The one i ended up submitting is on here.
The Role:
The Quantum Applied Researcher (ML) is part of Terra Quantum’s research and development & delivery organization, which is responsible for conducting the core research in quantum computing and implementing the algorithms in a form of the software product, ensuring the company’s ability to implement it, and aligning the product vision with the corporate vision. The Quantum Applied Researcher reports to the Program Manager supporting continuous research and development and improvement, including algorithms engineering, -research, - design. With a clear and customer-oriented product mindset, the Quantum ML Engineer technically guides junior members of their team in targeted and efficient algorithms engineering. Working closely with product management and -strategy, the Quantum Applied Researcher understands all the technical aspects of developing scalable, easy to-use, secure, practical, and intuitive software. Also, the Quantum Applied Researcher will understand the market needs in terms of quantum technology and what can be built on the research output.
With an eye for detail, the Quantum Applied Researcher (ML) helps their teams strive for perfection and has a capacity for enthusiasm and shows their team that they partake in the paramount mission to make quantum technologies broadly available and accessible and change the world for the better.
The Responsibilities
The Quantum Applied Researcher (ML) should expect to work on customer projects within the Quantum Machine Learning Team.
Industrial customer projects implementation
o Bringing in novel quantum algorithmic ideas based on industry needs (chemistry, pharmaceutical, energy, financial, automotive, space industries) and the state-of-the-art scientific literature o Researching the existing classical and quantum machine learning solutions to customer problems o Exploring and testing the best ways to hybridize classical machine learning solutions with quantum machine learning
o Developing and implementing (in Python) quantum and hybrid quantum machine learning algorithmic solutions to customer problems
o Working on finding a theoretical or empirical advantage of using hybrid quantum-classical machine learning in customer problems
o Writing results as applied research papers, and assisting in business papers and reports preparation
Software engineering and product preparation
o Packaging of the developed quantum machine learning algorithms and solutions into user-friendly libraries, e.g. using Python frameworks
o Supporting the implementation of the APIs that are used to for the libraries access
o Under consideration of the product strategy, contributing to the software product architecture and supporting Product team in to transition Terra Quantum’s portfolio projects and R&D into scalable and reliable products
The Requirements
The Quantum Applied Researcher (ML) is expected to have the following qualifications.
● Degree in computer science, physics, mathematics, electrical engineering, or equivalent subject ● Advanced expertise in one or more quantum programming languages (Qiskit, Q#, Pennylane, Cirq, Quipper, Scaffold, tket)
● Publication record in quantum machine learning
● Experience working with the classical machine learning algorithms
● Expert knowledge in Python
● Expert knowledge in Pytorch and TensorFlow
● Experience in programming for GPUs and/or TPUs
● Experience in office and management software, document, and presentation preparation (Outlook, PowerPoint, Excel, Word, Overleaf, Jira and Confluence)
● Proficiency in written and spoken English
● Goal-oriented, analytical and the ability to work independently and within the team ● Clear and customer-oriented agile and team-oriented approach
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