Software Engineer III, AI and Data Protection, Google Cloud

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

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 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).
• 1 year of experience in software development with Java or Kotlin.
  
• Experience in infrastructure, platforms, or backend software engineering.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
  
• 2 years of experience with data structures and algorithms.
• Experience programming in Kotlin.
• Working experience on Google Cloud Platform.

• Bachelor’s degree or equivalent practical experience.
  
• 2 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).
• 1 year of experience in software development with Java or Kotlin.
  
• Experience in infrastructure, platforms, or backend software engineering.