Senior Engineering Analyst, AI Safety

Google; Sunnyvale (CA); On-site; USD 159,000 - 230,000; Full time

Job summary

Google Sunnyvale is seeking a Senior Engineering Analyst in AI Safety to join the Trust and Safety AI Safety Protections team. You will apply advanced data science and ML techniques to enhance the safety of Google’s generative AI models and related products.

As a member of the team, you will translate complex analytics into actionable insights, collaborate with senior leaders, and mentor junior engineers. A strong background in data analysis, data science, and programming is essential for

Qualifications

• Minimum 5 years of data analysis experience with identifying trends, generating summary statistics, and extracting insights from data.
• Minimum 5 years of data science experience.
• Experience with Python, R, Julia, SQL, and scripting languages such as C/C++, Python, Java.

Responsibilities

• Develop scalable safety solutions for AI products using advanced ML and data science techniques.
• Apply statistical methods to evaluate protection measures and identify improvement opportunities.
• Craft compelling data narratives for stakeholders, including executives.
• Provide technical mentorship to team members to foster growth and project success.
• Handle sensitive content and may encounter graphic or upsetting material.

Skills

Data analysis

Data science

Python

SQL

R

Julia

C/C++

Java

Education

Bachelor's degree or equivalent practical experience

MBA or Master's in quantitative discipline

Job description

Senior Engineering Analyst, AI Safety

Google

Sunnyvale, CA, USA

Mid

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

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

Preferred qualifications:

• MBA, or Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Biology, Computer Science, Mathematics, Physics, Industrial Engineering, etc.).
• Experience in abuse and fraud disciplines, especially focused on web security, harmful content moderation and threat analysis.
• Experience in applying machine learning techniques to large datasets.
• Experience with prompt engineering and fine-tuning Large language Models (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.

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, as well as downstream GenAI products etc.

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 AI technologies, as well as protect the world from real-world harms.

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 about benefits at Google.

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 executive leadership.
• Provide technical leadership by fostering growth and ensuring success of team members through targeted mentorship and guidance.
• Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.

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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 also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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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.

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