Senior Software Engineer, Content Safety

Google; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Google Singapore is hiring a Senior Software Engineer for Content Safety to design and implement scalable safety solutions across server and edge environments. You will shape architecture and AI pipelines, working with global teams on high-impact projects.

Required 5+ years in software development, 3+ years in ML infrastructure, and strong design skills; experience in responsible AI is a plus. This role offers challenging work and collaboration across Google’s platforms.

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 one or more ML-related areas (speech/audio, RL, ML infra, or related).
• 3 years of experience with ML infrastructure (model deployment, evaluation, optimization, data processing).

Responsibilities

• Architect and drive the technical direction for content safety solutions across server-side and edge environments.
• Design scalable software architectures, modular interfaces, and complex data models.
• Lead development, deployment, and optimization of agentic flows and AI orchestration pipelines at scale.
• Establish validation, routing, and tool-use schemas for safe autonomous pipelines.
• Collaborate with global stakeholders to translate goals into concrete technical plans.

Skills

Software development

Programming languages

Testing & maintenance

Software architecture

ML infrastructure

Education

Bachelor's degree or equivalent

Job description

Senior Software Engineer, Content Safety

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.
• 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 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.
• 3 years of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

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

Minimum 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 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.
• 3 years of experience with Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

• Experience designing robust, scalable software architectures, modular interfaces, and complex data models to meet ambiguous system requirements.
• Experience in Responsible AI or safety-adjacent fields such as factuality, policy enforcement, or adversarial defense.
• Demonstrated experience designing, scaling, and optimizing complex agentic flows (e.g., stateless and stateful), including advanced prompt engineering, context engineering, and tool-use (function calling) schemas.
• Hands-on experience deploying and scaling GeneAI models, foundation model SDKs, and calling cloud-hosted models in high-throughput environments.
• Solid understanding of ML concepts, Large Language Model (LLM) mechanics (e.g., transformers, activations, embeddings), and how to efficiently train and deploy them at scale.

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 Content Safety organization in Core provides safety solutions that protect Google’s users from exposure to offensive, sensitive or harmful content. The team unblock and accelerate Google's product launches by providing quality implementations of company-wide standards for Responsible Artificial Intelligence (AI). The team combines subject matter expertise in the content safety domain and a practice of machine learning and AI-based techniques with the production-grade experience in serving infrastructure and product integrations to protect users from harm, maintain Google’s engagement in the area of online safety across the industry, and make foundational models and the internet safer for society.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

• Architect and drive the technical direction for high-quality, future-proof, and performant content safety solutions across both server-side and on-device (e.g., edge) environments.
• Design robust, scalable software architectures, modular interfaces, and complex data models to resolve highly ambiguous and shifting system requirements.
• Lead the development, deployment, and optimization of highly performant agentic flows (e.g., both stateless and stateful) and multi-step AI orchestration pipelines at scale.
• Establish rigorous validation standards, routing logic, and tool-use schemas to ensure deterministic, safe, and compliant execution across autonomous safety agent pipelines.
• Collaborate with global stakeholders and cross-functional partners across regions to translate high-level business goals into concrete technical execution plans.

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.

Unlock job insights

Hirer responsiveness Salary match Number of applicants

Online Media & eCommerce More than 10,000 employees

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

To help fast track investigation, please include here any other relevant details that prompted you to report this job ad as fraudulent / misleading / discriminatory / salary below minimum wage.