Software Engineer, Responsible AI

Minimum qualifications:

• 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.

Preferred qualifications:

• 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.

About the job:

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 SU Ecosystem team, your focus is to provide Responsible AI (RAI) solutions including Trust and Safety and Provenance to product teams at Google, making it a top priority effort. You will also serve the actual RAI capabilties 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 the Google Deepmind's Beyond platform ensuring that they serve users responsibly.The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

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 Objective (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 serve user complaints likeness claim validation.