Senior Applied AI/ML Engineer, Content Safety Platform

Requirements

• 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.

Nice to Haves

• 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• Experience in full-stack development, including in programming languages like Python, Java, C++, web frameworks, and cloud platforms.
• Experience with Generative AI technologies and their associated risks and opportunities.
• 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.
• Knowledge of ML algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, and generative AI.
• Knowledge of API design, database technologies, and front-end development principles.

What You'll Be Doing

• Lead the full lifecycle of projects that protect Google's users and business-critical products, including the latest generative AI experiences.
• Accountable for delivering high-quality, future-proof and performing infrastructure, unlocking new opportunities for the business.
• 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.
• Collaborate effectively with cross-functional teams of data scientists, software engineers, product managers, and business stakeholders to deliver impactful safety solutions.

Perks and Benefits

• Opportunities to switch teams and projects as you and the business grow and evolve.
• Impactful technical decisions across the company as part of the Core team.
• Contribute to the success of Content Safety engineers working in Agents, Classifiers, and Responsible AI efforts.