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Software Engineer, Machine Learning

Meta
London, GBR
Onsite
Discovered Today
ProgrammingSystem architectureScalable systemsCode reviewInformation retrievalNatural language processing

Full Job Posting

Role overview

Build and improve products and application experiences across mobile and web platforms.

Work on complex technical problems and help advance products used to connect people globally.

Responsibilities

  • Collaborate across product, design, operations, and infrastructure teams to build application experiences.
  • Implement custom user interfaces and optimize code quality, efficiency, and performance.
  • Lead initiatives, set team direction, provide technical guidance, mentor peers, and support onboarding.
  • Architect scalable systems; resolve performance issues and reduce technical debt.
  • Own components, features, or systems end to end.

Minimum qualifications

  • Experience using data and analysis to explain technical problems and propose detailed solutions.
  • Bachelor's degree in a relevant technical field or equivalent practical experience.
  • Experience driving organizational change and leading complex technical projects.
  • Programming experience in a relevant language.

Preferred qualifications

  • Understanding of information retrieval and NLP concepts and techniques.
  • Master's degree or PhD in Computer Science or a related technical field.
  • Experience with data structures, algorithms, graph theory, or optimization.
  • Experience with TensorFlow, PyTorch, or Scikit-learn.
  • Experience integrating AI tools, applying responsible AI practices, and continuing AI skills development.

About Meta

Meta builds technologies and apps that help people connect, find communities, and grow businesses.

The company is developing augmented and virtual reality experiences as part of its work on social technology.

Compensation

  • Individual compensation depends on skills, qualifications, experience, and location.
  • The posting describes base compensation as potentially hourly, monthly, or annual, excluding bonuses, equity, or sales incentives.

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