Either a post-graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record of success in online data science competitions, such as Kaggle
Experience in one or more of deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametric, NLP, or approximate inference
Excellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don’t always work on our data so you will need to understand how to develop your own models
Strong programming skills and experience working with Python, Scikit-Learn, SciPy, NumPy, Pandas, and Jupyter Notebooks are desirable. Experience with object-oriented programming is beneficial
Publications at top conferences, such as NeurIPS, ICML, or ICLR, are highly desirable
