Software Engineer II, Content Safety

Google LLC; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Google LLC in Singapore is hiring a Software Engineer II for Content Safety. You will design and build scalable systems to protect GenAI experiences and user-generated content, working on classifiers, vector databases, and multimodal models.

Collaborate on production-grade distributed pipelines, model training, evaluation, and deployment, with emphasis on safety, reliability, and high-throughput processing across server and edge environments.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 1 year of software programming experience in Python, Java, or C++.
• 1 year of experience in a core ML domain (e.g., NLP, vision, or ML infrastructure).
• 1 year of experience with ML infrastructure (training, inference, deployment).

Responsibilities

• Design, build, and scale content safety systems including classifiers, vector databases, and multimodal models.
• Develop and maintain production-grade distributed systems and content processing pipelines.
• Train, evaluate, and productionize models with feedback loops to improve quality.
• Implement agentic workflows and heuristics for deep threat understanding of abuse patterns.
• Drive agile efforts to identify and mitigate novel abuse patterns for safe products.

Skills

Python/Java/C++ programming

ML domain experience

ML infrastructure experience

Education

Bachelor’s degree or equivalent practical experience

Job description

Share Software Engineer II, Content Safety

info_outline X Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.

• Bachelor’s degree or equivalent practical experience.
• 1 years of experience with software programming in Python, Java, or C++.
• 1 year of experience in a core ML domain, such as Generative AI, Natural Language Processing (NLP), computer vision, speech/audio, reinforcement learning, recommendation systems, or ML infrastructure.
• 1 year of experience with ML infrastructure (e.g., model training, model inference, model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Experience managing safety for User-Generated Content or GenAI products, with a deep understanding of adversarial incentives, abuse vectors, and distribution dynamics like virality.
• Experience in safety-adjacent domains, including factuality, product policy, or broader Responsible AI frameworks.
• Experience designing and deploying global-scale defensive architectures and pipelines capable of meeting rigorous Service Level Objectives (SLOs).
• Demonstrated accountability for managing technical debt, reducing bug counts, and mitigating SLO breaches to maintain high operational standards.
• Understanding of Machine Learning and Large Language Model (LLM) architecture, specifically transformers, activations, and the requirements for efficient, large-scale training and deployment.

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 Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

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 Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

• Design, build, and scale content safety systems including classifiers, vector databases, and multimodal models to protect business-critical products and GenAI experiences.
• Develop and maintain production-grade distributed systems and content processing pipelines optimized for high throughput and reliability across server-side and on-device environments.
• Train, evaluate, and productionize models, incorporating feedback loops and automation to continuously improve model quality and performance.
• Implement agentic workflows and advanced heuristics for deep threat understanding, enabling the proactive detection of complex abuse patterns.
• Drive agile engineering efforts to identify and mitigate novel abuse patterns, ensuring Google’s products remain engaged and safe in a shifting threat landscape.

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.

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.