Meta

Meta

Software Engineer, Machine Learning

Sausalito, CA

Sponsorship not specifiedDetected 73 days ago
JavaScriptPythonJavaC++PHPCode ReviewAPI DevelopmentMachine LearningTensorFlowPyTorchAI Orchestration

About the role

  • Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our
  • teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.

Requirements

  • Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  • 2+ years of programming experience in a relevant language OR a PhD + 9 months programming experience in a relevant language
  • 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
  • Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack
  • Proven experience to translate insights into business recommendations
  • Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
  • Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

This listing is sourced directly from Meta's careers page and normalized into a canonical job model.