Software Engineer III, AI and Data Protection, Google Cloud

Google; Kirkland (WA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off (20 days/yr)

Holidays (13 paid days/yr)

Job summary

Google in Kirkland, WA seeks software engineers focusing on ML and AI safety. You will build scalable classification and redaction of sensitive information across Google Cloud and tools, contributing to high-throughput inspection services.

The role covers architecture, APIs, algorithms, and neural networks with opportunities to switch teams. Competitive pay includes equity and a strong benefits package in the US.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 year of experience with one or more: speech/audio, reinforcement learning, ML infrastructure, or related ML field.
• 1 year of experience with ML infrastructure: deployment, evaluation, data processing, or debugging.
• 1 year of experience in software development with Java or Kotlin.
• Experience in infrastructure, platforms, or backend software engineering.

Responsibilities

• Write product or system development code.
• Collaborate through design and code reviews to ensure best practices across technologies.
• Contribute to documentation and educational content updated with product changes.
• Triage issues and debug/track/resolve impacts on hardware, network or services.
• Implement ML solutions, utilize ML infrastructure, and optimize data processing.

Skills

ML research

Java

Kotlin

Backend engineering

System design

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD (preferred)

Tools

Google Cloud Platform

Java

Kotlin

Job description

In most instances, this position requires in-person interviews as part of the hiring process.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

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.

About The Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The AI and Data Protection team engineers maintain the high-throughput, high-availability inspection services that power Google's safety capabilities. Our technology is fundamental to Cloud Sensitive Data Protection (Cloud SDP), Gmail/Chrome Enterprise/Google Drive's Data Loss Prevention (DLP) frameworks, AI (LLMs and Agents) inference safeguards with Model Armor, and a wide range of other Google offerings. We also perform storage scanning (GCS, BQ, etc), both thorough examination (reading every byte) and discovery (sampling records to create aggregate profiles).
In this role, you will build the architecture, APIs, algorithms, and neural networks that provide fast, scalable classification and redaction of sensitive information and AI threat surfaces, both at runtime and at rest.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .