The primary function of this position will be to lead a new Intelligent Automation Team in Quantum Motion to work alongside other teams on IC Engineering and Quantum Engineering. The goal of the team is to transform the automation of key parts of both the characterisation and operation of the quantum processor and its constituent parts. No background in quantum physics or semiconductor devices is required.
This is a rare and exciting opportunity to be an early employee at a start-up shaping the future of quantum computing, and in particular to form a new team within the company. There are vast opportunities for professional growth and to make an impact within the company. As a Senior Machine Learning Engineer, the position will suit someone who has experience in research and development of Machine Learning tools and thrives in a multidisciplinary technology environment.
Our Team
We are one of the “Top 100 Startups worth watching” in the EE Times, and our technology breakthroughs have been featured in The Telegraph, BBC and the New Statesman. Our founders are internationally renowned researchers from UCL and Oxford University who have pioneered the development of qubits and quantum computing architectures. Our chairman is the co-founder of Cadence and Synopsys, the two leading companies in the area of Electronic Design Automation. We’re backed by a team of top-tier investors including Oxford Sciences Innovations, INKEF Capital and Octopus Ventures, and we have so far raised over £18 million equity and grant funding.
We bring together the brightest quantum engineers, integrated circuit (IC) engineers and quantum computing architects to create a unique, world-leading team, working together closely to maximise our combined expertise. Our collaborative and interdisciplinary culture is an ideal fit for anyone who thrives in a cutting-edge research and development environment focused on tackling big challenges and contributing to the development of scalable quantum computers based on silicon technology.
Our team of 30+ is based in Oxford and London, with a centre of mass in our new Islington lab.
Functions of the Role
Lead the Intelligent Automation Team in Quantum Motion
Research and implement appropriate ML algorithms and tools for the automation of the characterisation and operation of semiconductor quantum devices and processors
Run machine learning tests and experiments, including statistical analysis and fine-tuning using test results
Lead the interaction with the testing team in order to build and maintain a high quality dataset for ML testing along with the development of a rigorous testing procedure to determine the quality of models on fresh data.
Support the wider deployment of ML tools developed by the Intelligent Automation to other teams within the company
Keep abreast of relevant developments in the field
Prepare progress reports and appropriate documentation for the tools developed
Experience - Essentials
Top tier education, minimum 2.1 in Computer Science or closely related discipline; likely to have studied to MSc or PhD level
In depth experience in at least one of the following areas: Machine Learning, Pattern Recognition, Computer Vision
Proficiency with Python and basic libraries for machine learning
Strong collaborative approach with good communication and interpersonal skills
An inquisitive nature and logical approach to problem solving. A passion for tackling big challenges and, in particular, for developing quantum computers
Experience - Desirable
Strong industrial/commercial experience as a Machine Learning Engineer
Experience in developing software which interacts with test & measurement hardware
Experience in technical mentoring/supervision experience
Benefits
Be part of a creative, world-leading team
Competitive salary and share options scheme
Contributory pension scheme
Choose your own laptop/kit
Life Assurance
Cycle-to-work Scheme
Flexible working
Central London location
About us
Quantum Motion is a fast-growing quantum computing start-up based in London founded by internationally renowned researchers from UCL and Oxford University with over 40 years’ experience in developing qubits and quantum computing architectures. Bringing together state-of-the-art cryogenic facilities and an outstanding interdisciplinary team, we are developing quantum processors based on industrial-grade silicon chips, with the potential to radically transform computing power in areas such as materials modelling, medicine, artificial intelligence and more.

Quantum Motion

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Senior Machine Learning Engineer