Software Engineer III, Content Safety Platform

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
• 1 year of experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.
• 1 year of experience with machine learning infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Nice to have:

• Master's degree or PhD in Computer Science or related technical fields.
• 2 years of experience with data structures or algorithms.
• Experience with Generative AI technologies and their associated risks and opportunities.
• Experience with API design, database technologies, and front-end development principles.
• Knowledge of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and generative AI.
• Knowledge of Trust and Safety, Content Safety, or Responsible AI domains, with an understanding of adversarial dynamics, content moderation challenges, or similar safety-adjacent fields.

What you'll be doing:

• Lead the deployment of Agents or AI-based protections/classifiers, from initial problem definition and data acquisition through to model development, evaluation, deployment, and long-term maintenance.
• Design and build robust, production-ready machine learning pipelines and high-scale distributed systems. This includes working with a variety of components such as rules engines, large models, vector databases, and scalable classifiers.
• Collaborate effectively with cross-functional teams of data scientists, software engineers, product managers, and business stakeholders to deliver impactful safety solutions.
• Stay current with the latest advancements in AI research, translating new techniques into practical applications for real-world safety challenges.
• Contribute to the team's technical strategy and architecture, helping to guide our approach to building scalable and intelligent AI features.

Perks and benefits:

• Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
• Equal opportunity and affirmative action employer, creating a culture of belonging, and providing equal employment opportunity regardless of various factors.
• Global company with English proficiency as a requirement for all roles.
• Opportunities for accommodation if needed.