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 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.

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.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

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.