Engineering Analyst, Trust and Safety, Gemini and Labs
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- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
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.
- Experience with SQL or Python scripting.
Preferred qualifications:
- Master's degree in a quantitative discipline.
- Experience working with the technical and policy issues of AI systems.
- Experience leading cross-functional projects and setting direction.
- Experience working on novel AI risks and threat actors engaging in cyber mis-use, societal harms, weaponization, etc.
- Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
- Excellent communication (synthesize information and recognize goals), skills with an interest in innovation, technology, and Google products.
About the job
Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
In this role, you will be responsible for architecting our approach to the risks associated with AI. You will move beyond day-to-day analysis to define the long-term roadmap for model safety. You will be anticipate future threats, develop novel evaluation paradigms, and influence Google's product and research direction to ensure safety is a foundational, non-negotiable component of our AI systems. Your position requires experience in analytics, critical thinking and the ability to work across all levels in the organization. You will be a pivotal voice in discussions that shape the future of AI at Google and beyond. You will collaborate with many teams within and outside of Trust and Safety. You also will partner with teams to drive operational excellence and deliver cross-functional initiatives at scale.
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 $147,000-$216,000 + 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.
Responsibilities
- Lead initiatives to implement next-generation safety mitigations. Guide engineering and research teams in building sophisticated technical solutions, from fine-tuning techniques to classifier-based guardrails.
- Partner with Engineering, Product, Policy and Legal to set precedents and create scalable, and defensible principles for new AI capabilities.
- Analyse the evolving AI threat landscape. Identify and forecast future misuse vectors and adversarial techniques, translating these insights into a proactive mitigation agenda.
- Be the go-to person for issues related to the area of the business and use the domain knowledge to provide partners with insights and analyses.
- Review or be exposed to sensitive or violative content as part of core role. Perform on-call responsibilities on a rotating basis, including weekend coverage/holidays
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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.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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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