Engineering Analyst II, Gemini and Labs
Google · Bengaluru, Karnataka, India
- On site
- Full-time
- $150,000 / year
- Bengaluru, Karnataka, India
Job highlights
- Lead AI safety initiatives and roadmap development.
- Analyze evolving AI threats and misuse vectors.
- Collaborate with engineering, product, and policy teams.
- Develop technical solutions for AI safety mitigations.
- Protect users from AI-related harms and abuse.
About the role
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.
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.
Responsibilities
- 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.
- Analyze 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.
Key skills/competency
- Generative AI
- Trust and Safety
- Data Analysis
- SQL
- Python
- AI Risk Assessment
- Threat Modeling
- Cross-functional Collaboration
- Product Development
- Statistical Analysis
Skills & topics
- Generative AI
- AI Engineering
- Data Analyst
- Trust and Safety
- SQL
- Python
- AI Risk
- Machine Learning
- Cybersecurity
How to get hired
- Tailor your resume: Highlight your 5+ years of experience with SQL, Python, analytics, automation, and data analysis, emphasizing AI safety and risk assessment.
- Showcase AI expertise: Detail your experience with AI systems, novel AI risks, and threat actors, especially if you have a Master's degree in a quantitative discipline.
- Demonstrate project leadership: Provide examples of leading complex, cross-functional projects and setting strategic direction in technical environments.
- Quantify achievements: Use numbers and data to illustrate your impact in identifying trends, generating insights, and implementing solutions.
- Prepare for technical interviews: Be ready to discuss your approach to AI risks, data analysis methodologies, and your proficiency in Python and SQL.
Technical preparation
Behavioral questions
Frequently asked questions
- What specific AI risks does the Generative AI Engineering Analyst role at Google address?
- The Generative AI Engineering Analyst role at Google focuses on identifying and mitigating complex risks associated with AI systems. This includes cyber misuse, societal harms, weaponization, and other novel AI risks posed by threat actors. The role involves anticipating future threats and developing evaluation paradigms to ensure AI safety is a core component of Google's AI development.
- What technical skills are most crucial for a Generative AI Engineering Analyst at Google?
- The most crucial technical skills for this role include extensive experience with SQL, Python for data analysis and automation, and a strong background in data analysis. Preferred qualifications also emphasize experience with statistical analysis, hypothesis testing, and working with the technical challenges of AI systems. Proficiency in leading cross-functional projects and scripting languages for prototyping is also highly valued.
- How does the Trust & Safety team at Google work with AI development?
- The Trust & Safety team at Google is integral to AI development by focusing on the safety and integrity of AI products. They identify and address potential harms, work with engineers and product managers to fight abuse and fraud, and act as thought leaders in shaping AI safety roadmaps. This involves developing proactive mitigation strategies and influencing product and research direction to embed safety into AI systems from the ground up.
- What is expected in terms of communication and collaboration for a Generative AI Engineering Analyst at Google?
- Excellent communication skills are essential, with a keen interest in innovation, technology, and Google products. The role requires collaborating across all organizational levels, including working with engineering, product, policy, and legal teams. You will also partner with various teams within and outside of Trust & Safety to drive operational excellence and cross-functional initiatives.
- What does 'on-call responsibilities' entail for the Generative AI Engineering Analyst position at Google?
- On-call responsibilities for the Generative AI Engineering Analyst position at Google involve being available to address critical issues on a rotating basis. This may include responding to urgent situations that arise outside of standard working hours, potentially including weekends and holidays, to ensure continuous safety and integrity of AI systems.
- How does Google's Trust & Safety team ensure user trust in AI products?