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Senior AI Safety Researcher

Google

Mountain View, CAJob$159–230K/yrSeen 2w agoSeen in employer's feed 1w ago

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At a glance

Compensation
$159–230K/yr
Location
Mountain View, CA
Work Authorization
Not specified

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Job overview

Google’s AI Safety Protections team develops safeguards for foundation models and downstream products. The researcher will work between research, model development, and policy, translating threat models into evaluations, mitigations, and launch decisions. The role focuses on understanding frontier AI risks and building protections, collaborating across teams to reduce real-world harms.

Skills & qualifications

RequiredNice to have

Skills

Data AnalysisProgramming LanguagesDatabase LanguagesTrust and SafetyAbuse PreventionFraud PreventionWeb SecurityContent ModerationThreat AnalysisMachine LearningPrompt EngineeringLLM Fine-TuningWritten CommunicationVerbal CommunicationPresentation SkillsProblem-SolvingCritical ThinkingAttention to Detail

Qualifications

Bachelor's Degree or Equivalent Practical Experience5 Years Data Analysis Experience5 Years Data Analysis or Data Science ExperienceMaster's or PhD in Quantitative FieldEnglish Proficiency

Full job description

Senior AI Safety Researcher

Share Senior AI Safety Researcher

corporate_fare Google place Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Senior AI Safety Researcher

Minimum 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 quantitative and qualitative data.

  • 5 years of experience in data analysis or data science.

  • Experience with programming languages (e.g., C/C++, Python, Java) and database languages (e.g., SQL).

Preferred qualifications:

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

  • Experience in trust, safety, abuse, or fraud disciplines, especially focused on web security, harmful content moderation, and threat analysis.

  • Experience in developing and deploying machine learning models at scale.

  • Experience with prompt engineering and fine-tuning LLMs.

  • Excellent written, verbal, and presentation skills to effectively communicate with a variety of stakeholders, including senior leadership

  • Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.

About the job

The AI Safety Protections team within Trust and Safety develops and implements cutting-edge AI-powered solutions to ensure the safety of foundation models, inclduing Gemini, Nano Banana, Veo, Agents, and Robotics. We work with Google DeepMind as well as downstream products such as enterprise (Vertex AI), on-device applications, and more.

We are a passionate team of data scientists and Machine Learning (ML) 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, work with teams across the company to develop cutting edge AI solutions, and protect people from real-world harms.

Google's foundation models are getting more capable fast, which can also introduce more severe harm if they're misused or unaligned. We are hiring someone to understand these frontier risks in depth and build safeguards against them.

You will sit between research, model development, and policy. You will turn threat models into evaluations, mitigations, and launch decisions.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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