Senior AI Safety Researcher — Drive Scalable AI Safeguards

Google LLC; Mountain View (CA); On-site; USD 159,000 - 230,000; Full time

Job summary

Google is hiring for the AI Safety Protections team within Trust and Safety. The role focuses on developing AI-powered safeguards for foundation models and related products, situating between research, model development, and policy.

You will translate threat models into evaluations, mitigations, and launch decisions, with exposure to sensitive content as part of the responsibilities. Ideal candidates have strong data science skills, experience with ML at scale, and excellent communication to

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from data.
• Experience in data analysis or data science.
• Proficiency with programming languages (C/C++, Python, Java) and SQL.

Responsibilities

• Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques.
• Apply statistical and data science methods to thoroughly examine Google's protection measures, uncover potential shortcomings, and develop actionable insights for continuous security enhancement.
• Drive business outcomes by crafting compelling data stories for a variety of stakeholders, including senior leadership.
• Provide technical leadership by fostering growth and ensuring success of junior team members through targeted mentorship and guidance.
• Work with sensitive content or situations and be exposed to graphic, controversial, or upsetting topics or content.

Skills

Programming languages (C/C++, Python,,

SQL

Education

Bachelor's degree or equivalent practical experience

5 years of experience in data analysis

Job description

Google is hiring for the AI Safety Protections team within Trust and Safety. The role focuses on developing AI-powered safeguards for foundation models and related products, situating between research, model development, and policy.

You will translate threat models into evaluations, mitigations, and launch decisions, with exposure to sensitive content as part of the responsibilities. Ideal candidates have strong data science skills, experience with ML at scale, and excellent communication to