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Engineering Analyst II, Gemini and Labs

Google

Engineering Analyst II, Gemini and Labs

Google

·

On-site

·

Full-time

·

1w ago

  • Lead initiatives to implement next-generation safety mitigations. Guide engineering and research teams in building the technical solutions, from fine-tuning techniques to classifier-based guardrails.

  • Partner with Engineering, Product, Policy and Legal to set precedents and create 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.

  • Become 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 and be exposed to sensitive or violative content as part of the role. Perform on-call responsibilities on a rotating basis, including weekend coverage/holidays.

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.

As a Senior Generative AI Engineering Analyst, you will be a thought leader responsible for architecting our approach to the complex risks associated with AI. You will move beyond day-to-day analysis to define the road map for model safety. Your role will be to 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.

You will have the ability to work across all levels in the organization. You will support 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 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.

  • Bachelor's degree or equivalent practical experience.

  • 5 years of experience with SQL, Python, analytics and automation.

  • 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.

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关于Google

Google

Google

Public

Google specializes in internet-related services and products, including search, advertising, and software.

10,001+

员工数

Mountain View

总部位置

$1,700B

企业估值

评价

3.7

25条评价

工作生活平衡

3.8

薪酬

4.2

企业文化

3.4

职业发展

3.9

管理层

2.8

68%

推荐给朋友

优点

Excellent compensation and benefits

Smart and talented colleagues

Great perks and work flexibility

缺点

Management and leadership issues

Bureaucracy and slow processes

Constantly changing priorities and reorganizations

薪资范围

57,502个数据点

Junior/L3

L3

L4

L5

L6

L7

L8

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L3

0份报告

$176,704

年薪总额

基本工资

-

股票

-

奖金

-

$150,298

$203,110

面试经验

9次面试

难度

3.4

/ 5

时长

14-28周

录用率

44%

体验

正面 0%

中性 56%

负面 44%

面试流程

1

Application Review

2

Online Assessment/Technical Screen

3

Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Product Sense