We are looking for a motivated and high-achieving Director of Engineering based in London to join the team working on our exciting machine learning product. This is a full-time placement with significant opportunities for personal development.
We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our world.
causaLens is pioneering a completely new approach to time-series prediction. Its Enterprise Platform is used to transform and optimise businesses that need accurate and robust predictions – including significant businesses in finance, IoT, energy and telecoms. Almost all current machine learning approaches, including AutoML solutions, severely overfit on time-series problems and therefore fail to unlock the true potential of AI for the enterprise. causaLens was founded with the mission to devise Causal AI, which does not overfit, and so provides far more reliable and accurate predictions. The platform also includes capabilities such as autonomous data cleaning and searching, autonomous model discovery and end-to-end streaming productisation.
causaLens is on a mission to build truly intelligent machines that go beyond current machine learning approaches - a curve-fitting exercise. Devising Causal AI has allowed us to teach machines cause and effect for the first time - a major step towards true AI.
causaLens is run by scientists and engineers, the majority holding a PhD in a quantitative field. For more information visit www.causaLens.com or contact us on info@causaLens.com. Follow us on LinkedIn and Twitter.
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Roles and Responsibilities
This is an exciting role for a smart, creative person with a strong technical background to lead our software engineering team. You work will include:
This is a leadership position suitable for an experienced engineering manager or an extremely talented and experienced team lead who wants to grow into an engineering management role.
The application stack is composed of Python, Numpy, Scipy, Sklearn, XGBoost, Keras, Django, Celery, Postgres, Redis, Ansible, AWS, GCP, and other technologies.
Our interview process consists of a couple of interviews and an on-site visit. We will do our best to transparently communicate the process with the successful candidates.