Software Engineer, Responsible AI

GoogleSunnyvale, CA
4d

About The Position

In this role, you will focus on developing Responsible AI Infra at Google and will be working on full-stack infrastructure and collaborating across teams to drive fast and frictionless responsible AI journeys across Google. As a part of the Storage and Users (SU) Ecosystem team, your focus is to provide Responsible AI (RAI) solutions including Trust and Safety (T&S) and Provenance to product teams at Google, making it a top priority effort. You will also serve the actual RAI capabilities, while the SU Ecosystem team aims to provide self-serviceable, well-lit user journeys that involve discovery and onboarding for various developers and clients of these RAI capabilities. You will have a tremendous impact on various model launches in Google DeepMind's Beyond platform, ensuring that they serve users responsibly.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with coding in C++, or 1 year of experience with an advanced degree.
  • 1 year of experience with application programming interface (API) design.
  • 1 year of experience with reliability analysis.

Nice To Haves

  • Master's degree or PhD in Computer Science, or a related technical field.
  • 2 years of experience with Stubby.
  • 2 years of experience with server platform.
  • 2 years of experience with Pod.
  • 2 years of experience with TypeScript.

Responsibilities

  • Engineer the Responsible AI (RAI) serving infrastructure by providing a dedicated, low-latency RAI service for Beyond.
  • Develop APIs and underlying features for the RAI serving infra.
  • Ensure all T&S signals have defined Service Level Objectives (SLOs), proactively managing the reliability and high-availability requirements of critical RAI components.
  • Deploy the Unified Provenance Service to support Google's compliance with various regional AI regulations across the globe, and launch Google’s proprietary SynthID watermark and industry-standard C2PA signals to indicate generative content and enhance the company's commitment to Responsible AI.
  • Build a Content Registry to store fingerprints of generated media for tracking content origin in order to enable Google to serve user complaints' likeness claim validation.
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