Machine Learning Verification Engineer at PROWLER.io
🇬🇧 United Kingdom › Cambridge (Posted Jun 14 2018)
About the company
PROWLER.io is the first company to generalise decision-making using principled AI.
Our principled AI makes reliable decisions in complex, dynamic and uncertain environments in real-time.
We have moved AI from being a black box to something that is transparent reliable, & controllable.
The platform is already transforming fields like finance, logistics, fleet optimisation, smart city simulations and games.
This is a unique opportunity for you to be part of a team that develops large-scale systems to tackle tough machine-learning problems. Ensuring the quality of the algorithms from probabilistic modelling, reinforcement learning and multi-agent systems you will be providing support and engineering solutions to the research teams.
If you would like to join a team of leading, highly experienced researchers and engineers who are defining the field of AI decision-making: Apply Now!
You will be an integral part of a small, agile research team that develops machine learning algorithms to run on our platform. We need your experience to ensure the quality of the machine learning code so that it can be integrated into our production solutions.
You will support your research team with design reviews, writing high quality code, code reviews, formulating and running experiments and finding novel ways to evaluate algorithms.
Besides helping deliver great software, you can catch up with other team members over a delicious breakfast or free Friday lunch, take a break with a quick chess match or extend your knowledge with one of our many reading groups or technical presentations. Not energetic enough? How about a lunchtime game of basketball, Futsal or a spot of bouldering?
Some of the technologies you'll be working with:
Cloud computing platforms
Skills & requirements
Minimum 3 years of practical experience in software engineering or machine learning
Good grasp of both machine learning and software engineering fundamentals
Deep knowledge of a programming language (e.g. Python, C++, Java or C#); working knowledge of multiple languages
Degree or higher in Computer Science, Mathematics, Machine Learning or a similar area
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