About the job
The AI Safety Protections team within Trust and Safety develops and implements AI/LLM-powered solutions to ensure the safety of generative AI foundational models. This includes Gemini, Nano Banana, Veo, Agents and Robotics, working with Google DeepMind on model post-training, Introspection models and safeguards. We are a team of passionate data scientists and machine learning experts dedicated to mitigating risks associated with generative AI. As a member of our team, you will have the opportunity to apply the latest advancements in AI/LLM, work with teams developing cutting edge AI technologies, as well as protecting the world from real-world harms.
Responsibilities
Lead and scale a team of engineering analysts focused on AI safety, fostering the career growth of members through direct technical mentorship and guidance.
Drive cross-functional alignment and influence executive stakeholders by translating data science findings into compelling narratives that support business outcomes.
Direct the operational strategy for high-stakes foundational model launches, developing scalable safety solutions by leveraging advanced machine learning and AI techniques.
Apply statistical and data science methodologies to audit protection measures and uncover vulnerabilities, ensuring continuous security enhancement through actionable insights.
Navigate and manage high-pressure environments involving sensitive, graphic, or controversial content with professional resilience and composure.
Qualifications
Minimum
Bachelor's degree or equivalent practical experience.
7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
7 years of experience in managing projects and defining project scope, goals and deliverables.
5 years of experience managing teams with performance management, mentorship, and coaching of team members.
Preferred
Master’s degree or PhD in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.).
Experience with prompt engineering and fine-tuning Large Language Model (LLMs).
Excellent written, verbal, and presentation skills to effectively communicate with a variety of stakeholders, including executive leadership.
Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.