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Software Engineer, Machine Learning

Meta

$56,250 - $173,000
Oct 24, 2025
San Francisco, CA, United States of America
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Meta is seeking talented engineers to join their teams in building cutting-edge products that connect billions of people around the world. The company is looking for individuals to work on complex technical problems, build new features, and improve existing products across various platforms, aiming to advance the way people connect globally.

Requirements

  • 2+ years of programming experience in a relevant language OR a PhD + 9 months programming experience in a relevant language
  • Experience building maintainable and testable code bases, including API design and unit testing techniques
  • 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
  • Experience with developing machine learning models at scale from inception to business impact
  • Exposure to architectural patterns of large scale software applications
  • Experience with scripting languages such as PyTorch, TensorFlow, Python, JavaScript or Hack
  • Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts

Responsibilities

  • Implement custom user interfaces using latest programming techniques and technologies
  • Develop reusable software components for interfacing with back-end platforms
  • Analyze and optimize code for quality, efficiency, and performance
  • Lead complex technical or product efforts and provide technical guidance to peers
  • Architect efficient and scalable systems that drive complex applications
  • Identify and resolve performance and scalability issues
  • Work on a variety of coding languages and technologies

Other

  • Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
  • Establish ownership of components, features, or systems with expert end-to-end understanding
  • Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
  • Proven experience to translate insights into business recommendations
  • Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes