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Senior Software Engineer, AI/ML, Platforms and Devices

Google

$166,000 - $244,000
Sep 10, 2025
Mountain View, CA, US
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Google is looking to solve the problem of developing next-generation technologies that change how billions of users connect, explore, and interact with information and one another, with a focus on information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile.

Requirements

  • 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 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.
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • 5 years of experience with data structures/algorithms.
  • Experience developing accessible technologies.
  • Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging)

Responsibilities

  • Write and test 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.
  • Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Other

  • Bachelor’s degree or equivalent practical experience.
  • Master's degree or PhD in Computer Science or related technical field.
  • 1 year of experience in a technical leadership role.
  • Ability to work in the US (due to base salary range mentioned)
  • Must be willing to complete Accommodations for Applicants form if needed