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 Deep Mind 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.

The US base salary range for this full-time position is $189,000-$274,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

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.

Minimum qualifications

• 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 qualifications

• Master’s degree or PhD in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.).