We are looking for experienced Applied Researchers in Machine Learning and AI with strong software engineering skills. The Core Machine Learning Team is part of the Applied Machine Learning organization. The team carries out applied research in ML/AI and designs, develops and deploys state of the art ML/AI algorithms to the rest of Facebook. The team has developed and optimized various algorithms including Neural Networks, Boosted Decision Trees, Sparse Linear Models, and Deep Learning for several ranking teams including Ads, Feed, Search, Instagram and others.
RESPONSIBILITIES
* Develop highly scalable algorithms based on state-of-the-art machine learning and neural network methodologies
Combine broad and deep knowledge of relevant research domains with the ability to synthesize a wide range of requirements to make significant contributions to the feature roadmap for the applied machine learning platform
Apply expert coding skills to platform development projects in partnership with other engineers on ranking and infrastructure teams
Adapt machine learning and neural network algorithms and architectures to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
MINIMUM QUALIFICATIONS
* MS degree in Computer Science or related quantitative field with 5+ years of relevant experience, or Ph.D degree in Computer Science or related quantitative field
Knowledge of machine learning and deep learning research.
Experience building systems based on machine learning and/or deep learning methods
Knowledge developing and debugging in C/C++, Java, and/or Scala
Experience with filesystems, server architectures, and distributed systems
Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations-ext@fb.com.
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