Staff Software Engineer, Content Safety

Google LLC; Singapore; Sur place; SGD 200 000 - 320 000; Plein temps

Résumé du poste

Google LLC is hiring a Staff Software Engineer for Content Safety in Singapore. You will work on safeguarding key products and building scalable content safety solutions across GenAI-based and on-device experiences.

You will lead ML infrastructure efforts, design and deploy models, and contribute to threat understanding and policy-aligned moderation with an emphasis on robust, safe product development.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of software development experience.
• 5 years with one or more of: Speech/Audio ML, reinforcement learning, ML infrastructure, or related ML field.
• 5 years ML design and ML infrastructure (deployment, evaluation, data processing, debugging, fine tuning).
• 5 years testing and launching software; 3 years software design & architecture.

Responsabilités

• Safeguard business-critical products, including GenAI-based server-side and on-device experiences.
• Design, build, maintain and scale content safety solutions (e.g., classifiers, multimodal understanding).
• Work on agentic workflows for threat understanding and content moderation.
• Lead ML infrastructure optimization and data processing strategies.

Connaissances

Software development

Speech/Audio ML

ML infrastructure

ML design

Testing & deployment

Formation

Bachelor's degree

Description du poste

Share Staff Software Engineer, Content Safety

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 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 a related ML field.
• 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 5 years of experience with testing, and launching software products, and 3 years of experience with software design and architecture.

Preferred qualifications:

• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role with leading project teams and setting technical direction.
• Experience in content safety, as applied to software products.
• Experience in responsible AI or safety-adjacent fields, such as factuality, or product policy.
• Experience in scaling pipelines, deploying systems, and designing defensive architecture to meet Service Level Objectives (SLOs).
• Knowledge of machine learning and Large Language Models (LLMs) working, and transformers, activations, and how to train and deploy them.

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.

Responsibilities

• Safeguard business-critical products that represent business growth, market share or value to Google, including Generative Artificial Intelligence (GenAI)-based server-side and on-device experiences.
• Design, build, maintain and scale content safety solutions (e.g., classifiers, multimodal understanding) to make quality users experience.
• Work on projects such as agentic workflows for threat understanding and content moderation.
• Lead the design and implementation of solutions in specialized Machine Learning (ML) areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.

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.