Software Engineer Iii, Ai/ml, Core

Google Google · Big Tech · Sunnyvale, CA +1

Software Engineer III, AI/ML, Core at Google, focusing on building the technical foundation for AI/ML products. Responsibilities include writing code, collaborating on design and code reviews, contributing to documentation, triaging and debugging issues, and implementing ML solutions with a focus on optimization and data processing. Requires experience with ML infrastructure, model deployment, evaluation, optimization, and data processing, with a specialization in areas like speech, reinforcement learning, or ML infrastructure.

What you'd actually do

  1. Write product or system development code.
  2. 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,)
  3. Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  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. Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

Required

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Nice to have

  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures or algorithms.
  • Experience developing accessible technologies.

What the JD emphasized

  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)

Other signals

  • Implement solutions in one or more specialized ML areas
  • utilize ML infrastructure
  • contribute to model optimization and data processing
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)