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Urgent! Staff Engineering Analyst, Generative AI Job Opening In Mountain View – Now Hiring Google
Staff Engineering Analyst, Generative AI
_corporate_fare_ Google _place_ Mountain View, CA, USA
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
+ 7 years of experience managing projects and defining project scope, goals, and deliverables.
**Preferred qualifications:**
+ Master's degree in a quantitative discipline.
+ 7 years of experience or familiarity with machine learning systems.
+ 7 years of experience or familiarity with one or more of the following languages such as SQL, R, Python or C++.
+ Excellent written and verbal communication skills.
**About the job**
Fast-paced, dynamic, and proactive, YouTube’s Trust & Safety team is dedicated to making YouTube a safe place for users, viewers, and content creators around the world to create, and express themselves.
Whether understanding and solving their online content concerns, navigating within global legal frameworks, or writing and enforcing worldwide policy, the Trust & Safety team is on the frontlines of enhancing the YouTube experience, building internet safety, and protecting free speech in our ever-evolving digital world.
In this role, you will apply critical thinking and leadership skills to analyze risks and opportunities presented by GenAI models and product features, designing a responsibility strategy that balances both.
You will ynthesize expertise across cross-functional teams to prioritize issues, create testing strategies, and implement risk mitigation measures.
Your responsibility extends beyond launch to include post-launch monitoring and analysis for ongoing safety and emerging trends.
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 $174,000-$258,000 + 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 aboutbenefits at Google (https://careers.google.com/benefits/) .
**Responsibilities**
+ Think logically and work effectively in a fast-paced, constantly changing environment while influencing cross-functionally and cross-geographically with all levels of management
+ Function as a critical thinker and take the lead as needed.
+ Manage multiple executive stakeholders, influencing safety strategy and operational execution at all levels.
+ Make business decisions, including identifying gaps or business needs, and innovating and scaling solutions.
+ Analyze ML models performance or work on Large Language Model (LLMs) and data analytics using statistical analysis and hypothesis testing.
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.
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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Unlock Your Staff Engineering Potential: Insight & Career Growth Guide
Real-time Staff Engineering Jobs Trends in Mountain View, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Staff Engineering in Mountain View, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 62467 jobs in United States and 858 jobs in Mountain View. This comprehensive analysis highlights market share and opportunities for professionals in Staff Engineering roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Google is currently hiring and seeking a Staff Engineering Analyst, Generative AI to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Google adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Staff Engineering Analyst, Generative AI Jobs United States varies, but the pay scale is rated "Standard" in Mountain View. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Staff Engineering Analyst, Generative AI typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Staff Engineering Analyst, Generative AI interview at Google, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Google's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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