Software Engineer Iii, Google Security Operations, Ai/ml

Google Google · Big Tech · Reston, VA +1

Software Engineer III for Google Security Operations, focusing on implementing GenAI solutions within the security domain. The role involves writing product/system development code, collaborating with peers, triaging issues, and designing/developing/delivering high-quality code for security products. Key responsibilities include implementing GenAI solutions, utilizing ML infrastructure, contributing to data preparation, optimization, and performance enhancements, and applying ML algorithms to solve technical or business problems within security operations.

What you'd actually do

  1. Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
  2. Design, develop, and deliver high-quality code for security products and systems
  3. Write product or system development code.
  4. Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  5. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency.).

Skills

Required

  • software development
  • programming languages
  • GenAI techniques
  • LLMs
  • Multi-Modal
  • Large Vision Models
  • language modeling
  • computer vision
  • full-stack software development
  • end-to-end applications
  • Machine Learning frameworks
  • TensorFlow
  • PyTorch
  • JAX
  • machine learning algorithms

Nice to have

  • data structures
  • algorithms
  • C#
  • TypeScript
  • Angular
  • accessible technologies

What the JD emphasized

  • state of the art GenAI techniques
  • GenAI-related concepts
  • Machine Learning frameworks
  • applying machine learning algorithms

Other signals

  • GenAI solutions
  • ML infrastructure
  • GenAI techniques
  • Machine Learning frameworks