Software Engineer, AI and Data Protection

Google; Town of Montana (WI); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Health, dental, vision insurance

401(k) with company match

Paid time off

Holidays

Job summary

Google in Kirkland, WA seeks a Software Engineer, AI and Data Protection to build high-throughput content analysis services powering Cloud SDP, Gmail, and Drive DLP. You will work on classification models, reliability, and efficiency of AI security engines.

The role includes mentoring engineers, collaborating with research, and delivering end-to-end data protection solutions for Google and Cloud customers. This is an Advanced-level role with a strong impact.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience with distributed processing and large-scale data processing.

Responsibilities

• Develop server code in C++, Java or Go for content analysis with high availability at scale.
• Develop novel algorithms for detecting AI security risks, classifying structured and unstructured sensitive information.
• Train, evaluate, and productionize ML/NLP models for token tagging and payload classification tasks.
• Develop data mining pipelines, synthetic data generation pipelines, and build datasets for training and evaluation.
• Partner with research groups on developing innovative ML/NLP solutions.

Skills

Distributed processing

Large-scale data processing

ML design

ML infrastructure

Leadership

Education

Bachelor's degree

Master's degree or PhD

Tools

C++

Java

Go

ML frameworks

Job description

Software Engineer, AI and Data Protection

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Location: Google, Kirkland, WA, USA

Experience Level: Advanced

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.
• 8 years of experience in software development.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• Experience with distributed processing and large-scale data processing.

Preferred Qualifications

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

About the Job

The AI and Data Protection team builds and operates the high-throughput, high-availability content analysis services that power Google's AI and data protection capabilities. Our technology is fundamental to Cloud Sensitive Data Protection (Cloud SDP), Gmail and Google Drive's Data Loss Prevention (DLP) systems, Gemini training data protection, inference protection with Model Armor, and a wide range of other Google products.

We develop the infrastructure, APIs, algorithms, and models that provide fast, scalable classification and redaction of sensitive information and AI content risks.

As a Software Engineer, you will contribute to high-impact initiatives to create and enhance our classification models, improve the reliability, efficiency, and performance of our AI security and content analysis engines. You will innovate and deliver end-to-end solutions that safeguard data for Google, as well as Google Cloud customers.

You will provide technical guidance to other engineers, and work closely with partner teams, cross-functionally and with customers.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207,000 - $300,000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Develop server code in C++, Java or Go for content analysis with high availability at scale.
• Develop novel algorithms for detecting AI security risks, classifying structured and unstructured sensitive information.
• Train, evaluate, and productionize ML/Natural Language Processing (NLP) models for token tagging and payload classification tasks.
• Develop data mining pipelines, synthetic data generation pipelines, and build datasets for training and evaluation.
• Partner with research groups on developing innovative ML/NLP solutions.

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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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

Locations

• Google, Kirkland, WA, USA

Experience Level: Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.