Senior Software Engineer, Ai/ml, Gen Ai, Geo

Google Google · Big Tech · Mountain View, CA +1

Senior Software Engineer role focused on AI/ML and Generative AI within Google's Geo team. Responsibilities include designing, developing, testing, deploying, and maintaining software solutions, with a specific emphasis on ML infrastructure and GenAI techniques like LLMs and multi-modal models. The role involves working with large-scale systems and contributing to products like Maps and Earth.

What you'd actually do

  1. Write and test product or system development code.
  2. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
  3. Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  4. Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  5. 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.

Skills

Required

  • software development
  • programming languages
  • software design
  • software architecture
  • ML infrastructure
  • model deployment
  • model evaluation
  • model optimization
  • data processing
  • debugging
  • GenAI techniques
  • LLMs
  • multi-modal
  • large vision models
  • language modeling
  • computer vision

Nice to have

  • data structures
  • algorithms
  • technical leadership
  • accessible technologies

What the JD emphasized

  • 5 years of experience with software development in one or more programming languages
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)
  • 1 year of experience with GenAI techniques (e.g., LLMs, multi-modal, large vision models) or with GenAI-related concepts (e.g., language modeling, computer vision)

Other signals

  • GenAI techniques
  • LLMs
  • multi-modal
  • large vision models
  • ML infrastructure