Joining a multidisciplinary team across machine learning, reinforcement learning and software engineering working on a wide variety of important problems.
Role:
Working closely with the reinforcement learning and software engineers you will be designing and developing data pipelines and predictive models to improve the performance of the AI agents.
Primarily the role will be focused on improving simulation, training and benchmarking environment, while creating visualisation and monitoring tools to ensure the integrity and performance of datasets, environments and algorithms.
Experience required:
Experience working with real-world datasets based on a foundation in probability, statistics and linear algebra.
Programming skills in python and its machine learning stack: numpy, pandas, matplotlib, tensorflow, pytorch.
Data manipulation, exploration and visualisation skills.
The ideal candidate will also have experience in: GPs, RNNs, Bayesian NNs, etc.
