Senior Staff AI/ML Security Engineer: Guard Gen AI at Scale

Google

Seattle (WA)

On-site

USD 262,000 - 365,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) with match
Paid time off
Sick leave
Maternity leave
Baby bonding
Holidays

Job summary

Google Cloud engineers build next-generation technologies used by billions. You will work on projects critical to Google Cloud's needs, with opportunities to switch teams as the business grows. You’ll anticipate customer needs, act with ownership, and push the boundaries of security and AI across the stack.

US: $262000 - $365000 (USD) plus 25% bonus target, equity and benefits. This role requires leading ML security initiatives and delivering enterprise-grade security products that impact

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience in Cloud.
  • 5 years of experience in ML infrastructure or related ML field.

Responsibilities

  • Define and drive long-term technical goals and architectural strategy for model armor and sensitive data protection.
  • Lead design and implementation of scalable, low-latency systems to detect threats across enterprise environments.
  • Align security roadmaps across Google Cloud and other product areas, considering latency and cost.
  • Resolve technical disagreements and guide cross-functional teams across time zones.
  • Mentor staff and executives on ML security and domain expertise.

Skills

Software development
Technical leadership
ML infrastructure
Cloud
System design

Education

Bachelor's degree or equivalent practical experience
Master’s or PhD (preferred)

Tools

Java

Job description

Google Cloud engineers build next-generation technologies used by billions. You will work on projects critical to Google Cloud's needs, with opportunities to switch teams as the business grows. You’ll anticipate customer needs, act with ownership, and push the boundaries of security and AI across the stack.

US: $262000 - $365000 (USD) plus 25% bonus target, equity and benefits. This role requires leading ML security initiatives and delivering enterprise-grade security products that impact

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