Google

About Google

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Key Highlights

  • Over 100,000 employees globally
  • Headquartered in Mountain View, California
  • Parent company Alphabet Inc. valued at $1.5 trillion
  • Google Cloud Platform serves millions of customers

Google LLC, headquartered in Mountain View, California, is a global leader in internet-related services and products, including its flagship search engine, Google Search, and the Android operating system. With over 100,000 employees, Google also offers cloud computing services through Google Cloud P...

🎁 Benefits

Google offers competitive salaries, equity options, generous PTO policies, comprehensive health benefits, and a remote work policy that allows flexibi...

🌟 Culture

Google is known for its engineering-first culture, emphasizing innovation and collaboration. The company fosters a unique environment that encourages ...

Google

Staff Engineer Senior

GoogleMountain View - On-Site

Posted 3w ago🏛️ On-SiteSeniorStaff Engineer📍 Mountain View💰 $174,000 - $258,000 / yearly
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Skills & Technologies

Overview

Google is hiring a Staff Engineering Analyst specializing in Generative AI to analyze risks and opportunities presented by GenAI models. You'll work with SQL, Python, R, and C++ to design responsibility strategies. This position requires 7 years of experience in data analysis and familiarity with machine learning systems.

Job Description

Who you are

You have a Bachelor's degree or equivalent practical experience, along with 7 years of experience in data analysis — you've identified trends, generated summary statistics, and drawn insights from both quantitative and qualitative data. Your project management skills are well-honed, allowing you to define project scope, goals, and deliverables effectively. A Master's degree in a quantitative discipline is preferred, and you have familiarity with machine learning systems, which enhances your analytical capabilities.

Your technical skills include proficiency in one or more programming languages such as SQL, R, Python, or C++ — you understand how to leverage these tools to analyze data and derive meaningful insights. Excellent written and verbal communication skills are part of your toolkit, enabling you to convey complex ideas clearly and effectively. You thrive in collaborative environments, synthesizing expertise across cross-functional teams to prioritize issues and create testing strategies.

What you'll do

In this role, you will apply critical thinking and leadership skills to analyze risks and opportunities presented by Generative AI models and product features. You will design a responsibility strategy that balances innovation with safety, ensuring that YouTube remains a safe platform for users and content creators. Your responsibilities extend beyond launch to include post-launch monitoring and analysis of machine learning model performance, particularly focusing on Large Language Models (LLMs).

You will manage multiple executive stakeholders, influencing safety strategy and operational execution at all levels. Your role involves making business decisions, identifying gaps or business needs, and innovating and scaling solutions to address these challenges. You will also engage in statistical analysis and hypothesis testing to evaluate the performance of machine learning models, ensuring that they meet the high standards expected by users and stakeholders alike.

What we offer

At Google, you will be part of a team dedicated to enhancing the YouTube experience and building internet safety. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. You will have the opportunity to work in a fast-paced environment where your contributions directly impact millions of users worldwide. Join us in shaping the future of online safety and content creation.

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