Senior Engineering Analyst, AI, Safety

Google • Kirkland, WA

3d

About The Position

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We are a team of passionate data scientists and machine learning experts
dedicated to mitigating risks associated with generative AI.

As a Senior Engineering Analyst, you will have the opportunity to apply the
latest advancements in AI/Large Language Model (LLM), work with teams developing
AI technologies, as well as protecting the world from real-world harms.

At Google we work hard to earn our users’ trust every day. Trust & Safety is
Google’s team of abuse fighting and user trust experts working daily to make the
internet a safer place. We partner with teams across Google to deliver bold
solutions in abuse areas such as malware, spam and account hijacking. A team of
Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce
risk and fight abuse across all of Google’s products, protecting our users,
advertisers, and publishers across the globe in over 40 languages.

The US base salary range for this full-time position is $159,000-$231,000 +
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 [https://careers.google.com/benefits/].

Requirements

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

Nice To Haves

• Master’s degree or PhD in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.).
• Experience in abuse and fraud disciplines, especially focused on web security, harmful content moderation and threat analysis.
• Experience with prompt engineering and fine-tuning LLMs.
• Proficiency in applying machine learning techniques to large datasets.
• Strong communication 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.

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 junior team members through mentorship and guidance.
• Work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level