Research Scientist, Machine Learning for Monetization (PhD)
Meta, Menlo Park, California +3
What you will do
Develop highly scalable classifiers and tools leveraging Machine Learning, data regression, and rules based models Suggest, collect, and synthesize requirements to create an effective feature roadmap Adapt standard Machine Learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) Lead and contribute to research that results in tech demos and/or publications Collaborate closely with cross-functional partners and contribute towards Meta's research product development
What you need
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Currently has, or is in the process of obtaining, a PhD degree in Machine Learning, Artificial Intelligence, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Experience in Deep Learning algorithms and techniques, e.g., convolutional neural networks (CNN), transformers, quantization, data efficient learning, or similar