Software Engineer III, AI and Data Protection, Google Cloud

Google LLC; 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/year

Sick leave 40 hours/year

Maternity leave 28-30 weeks

Baby bonding leave 18 weeks

Holidays 13 paid days

Job summary

Google LLC in Kirkland, WA is seeking a Software Engineer III for AI and Data Protection on Google Cloud to design and ship fast, scalable ML-enabled software. You will work across architecture, APIs, and neural networks to classify and redact sensitive information at rest and in flight.

This role emphasizes collaboration, code quality, and impact on safety capabilities across Cloud SDP, DLP, and AI tooling; prior ML infra experience and Java/Kotlin skills are valued.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with one or more ML areas (speech/audio, RL, ML infrastructure, or related).
• 1 year of experience with ML infrastructure (deployment, evaluation, data processing, 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 with peers and stakeholders through design and code reviews to ensure best practices.
• Contribute to existing documentation or educational content and adapt content based on product/program updates.
• Triage product or system issues and debug/track/resolve by analyzing sources and impact on operations.
• Implement solutions in ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Skills

Bachelors degree

ML experience

ML infra

Java/Kotlin

Backend engineering

Education

Bachelor’s degree or equivalent practical experience

Master’s or PhD preferred

Tools

GCP

Job description

Software Engineer III, AI and Data Protection, Google Cloud

Share Software Engineer III, AI and Data Protection, Google Cloud

corporate_fare Google place Kirkland, WA, USA

X 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

• 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.

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

• 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.