Senior Software Engineer, Gmail Abuse and Safety Protections

Google LLC; Sunnyvale (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google LLC seeks a Senior Software Engineer for Gmail Abuse and Safety Protections in Sunnyvale, CA. You will design, build, and maintain systems that detect and prevent abuse at scale, driving ML-based protections across Gmail users, including enterprise customers.

The role emphasizes collaboration across research and engineering, building production ML systems, and evaluating models to improve safety and user trust. In-person interviews are common.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models).
• Experience with data analysis, statistical modeling, and translating complex data into actionable insights.

Responsibilities

• Write and test product or system development code.
• Assess threats to Gmail users from new technologies like GenAI and design safeguards.
• Drive improvements through machine learning algorithms and systems innovations.
• Design, run, and evaluate experiments for training GenAI models for Gmail abuse detection.
• Collaborate with data science, product, and operation teams to stay at the forefront of abuse trends and risks.

Skills

Software development

Software testing

GenAI

ML Infrastructure

Data analysis

Leadership (technical)

Education

Bachelor’s degree or equivalent practical experience

Master’s or PhD in Computer Science or related field

Job description

Senior Software Engineer, Gmail Abuse and Safety Protections

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info_outline X In most instances, this position requires in-person interviews as part of the hiring process.

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  
• 1 year of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
• Experience with data analysis, statistical modeling, and translating complex data into actionable insights.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience in Applied Machine Learning, in teams directly responsible for business metrics on user-facing products.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  
• 1 year of experience in a technical leadership role.
• A background in a safety, abuse-fighting or integrity role at an Internet company.

About the job

Google Cloud’s mission is to make every business successful through AI by combining cutting‑edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI‑powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

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 Cloud’s mission is to make every business successful through AI by combining cutting‑edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI‑powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren’t just building technology; you’re shaping the frontier of enterprise and driving the evolution of advanced models.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .

• Write and test product or system development code.
• Assess threats to Gmail users from new technologies like GenAI and design appropriate safeguards in advance.
• Drive key improvements through machine learning algorithms and systems innovations.
• Design, run, and evaluate experiments for training GenAI models with the goal of improving Gmail abuse detection. Build production‑ready ML systems that are both high‑performing and scalable.
• Work across research and engineering teams to build ML signals, techniques and infrastructure to protect Gmail users including enterprise customers. Collaborate with data science, product, and operation teams to stay at the forefront of abuse trends and risks.

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.