Research Engineers, Natural Language Processing (NLP) / Machine Learning (ML)
Science & Technology – Quantum NLP & Quantum AI /
Cambridge Quantum (CQ) is a global leader in quantum computing. Our software helps our partners, collaborators, and clients to solve the most difficult problems in their industries through quantum computing. Our focus is in the areas of quantum chemistry, quantum machine learning, quantum algorithms and quantum encryption.
NLP/ML Research Engineers
Cambridge Quantum (CQ) is seeking to hire three full-time NLP/ML research engineers to work with the Oxford-based QNLP team. Quantum NLP is a new field of research aimed at the design and implementation of NLP models that run on quantum hardware. The Research Engineers will be working primarily with Dr. Dimitrios Kartsaklis.
The Quantum Natural Language Processing (QNLP) team at CQ follows a two-stage process, involving (1) research, design, and development of models on classical hardware; and (2) transportation of the models to quantum hardware. The current positions are related to the first stage, which is the design, prototyping and implementation of "quantum-friendly" NLP models on classical hardware. While the second stage of transferring the models on quantum hardware is not in the main responsibilities of the roles, some form of collaboration between the successful candidate and the quantum-computing specialists of the group will be required.
Candidates are expected to have good NLP/ML experience and very strong programming skills in Python. A substantial part of the work for this role will involve contributions to the code base of the team, which is currently under development. Knowledge of tensor-based NLP approaches, such as the DisCoCat model  and tensor networks, as well as some familiarity with mathematical models of meaning, is in general desirable.
 Coecke, Sadrzadeh, Clark. Mathematical Foundations for a Compositional Distributional Model of Meaning.
- Strong research skills and experience in NLP and machine learning
- Very strong programming skills, especially in Python, preferably with industry experience
- Good knowledge of mathematical models of meaning and tensor-based NLP approaches.
- Published work in top-tier NLP conferences
- Familiarity with basic principles of quantum computing
- Familiarity with basic category theory
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 including equity participation, 28 day’s paid annual leave, a workplace pension and a positive approach to flexible working.
Founded in 2014, CQ operates at the very core of quantum computing and is backed by some of the world’s leading partners with strong domain expertise including IBM, Honeywell and JSR Corp. Our core focus is in quantum software and enterprise applications in the area of quantum chemistry, quantum machine learning, and quantum encryption. With over 150 professionals, CQ has a strong and unique scientific grounding in terms of its core team with over 100 scientists, of which over 70 are Ph.D. holders. CQ has a “Science Led; Enterprise Driven” approach and built a tier one ecosystem of customers, investors, and partners including IBM, Honeywell, JSR Corp, Total, Nippon Steel, and many other Fortune 500 companies. We are in the process of expanding our operations significantly across our offices in Cambridge (U.K.), Oxford, London, Washington, DC, and Tokyo.
In June 2021, CQ announced a merger with Honeywell Quantum Solutions (HQS), a Honeywell business unit and maker of the highest performing quantum computer currently available. Honeywell has been an investor in and commercial partner with Cambridge Quantum since 2019. The deal is intended to close in Q4 this calendar year and is subject to the satisfaction of certain regulatory approvals, and other customary closing conditions.
Please note that employment at CQ is subject to successfully passing our pre-employment screening checks.
CQ is an inclusive equal opportunity employer