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Software Engineer, Machine Learning

Meta
London, GBR
Onsite
Discovered Today
ProgrammingMachine learningApplication developmentScalable systems architectureCode analysis and optimizationTechnical project leadership

Full Job Posting

Role overview

Software Engineer, Machine Learning role building products and application experiences across platforms, including mobile and web.

The posting describes work on complex technical problems, new features, product improvement, and user experience.

Responsibilities

  • Collaborate with product, design, operations, and infrastructure teams to build application experiences.
  • Implement custom user interfaces using current programming techniques and technologies.
  • Optimize code quality, efficiency, and performance, and provide feedback in code reviews.
  • Set team direction and goals, lead major initiatives, mentor peers, and onboard team members.
  • Architect efficient, scalable systems for complex applications.
  • Resolve performance and scalability issues and reduce technical debt.
  • Work across coding languages and technologies and own components, features, or systems end to end.

Minimum qualifications

  • Programming experience in a relevant language.
  • Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
  • Experience driving organizational change and leading complex technical projects.
  • Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.

Preferred qualifications

  • Master’s degree or PhD in Computer Science or a related technical field.
  • Experience with TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of NLP, including text preprocessing, tokenization, and sentiment analysis.
  • Understanding of information retrieval, including indexing, querying, and ranking.
  • Experience with data structures and algorithms, including graph theory and optimization.

About Meta

Meta builds technologies and apps that help people connect, find communities, and grow businesses, and is developing augmented and virtual reality technologies.

Compensation information

  • Compensation depends on skills, qualifications, experience, and location. The posting describes base compensation and excludes any applicable bonus, equity, or sales incentives.

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