Meta

Software Engineering, Machine Learning (Singapore)

Meta
BusinessSingapore, Singapore, ['SGP']; SingaporeFull-time7 months ago

About the role

AI summarised

Meta is seeking a Machine Learning Software Engineer in Singapore to work on cutting-edge products connecting billions of people. The role involves building new features, improving existing products across mobile and web platforms, and solving complex technical problems.

BusinessFull-timeGeneral

Key Responsibilities

  • Work on complex technical problems
  • Build new features
  • Improve existing products across various platforms, including mobile devices and web applications
  • Push the boundaries of user experience
  • Advance the way people connect globally

Requirements

  • Experience with scripting languages such as Python, Javascript or Hack Perl, PHP, and shell scripts
  • 2+ years relevant experience using frameworks such as PyTorch, TensorFlow or equivalent
  • Proven experience to translate insights into business recommendations
  • Experience building and shipping high quality work and achieving high reliability
  • 2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
  • 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
  • 2+ years of programming experience in a relevant programming language
  • PhD degree or research focused Master degree in ML areas
  • Exposure to architectural patterns of large scale software applications
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies