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SeniorГибридПолная занятость

Sr. Security Engineer, AppSec (AI/ML Security)

Оценка ИИ

Отличная вакансия в быстрорастущей компании с фокусом на передовые технологии (AI Security). Предлагает опционы, сильный социальный пакет и работу над актуальными вызовами индустрии.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует редкого сочетания глубоких знаний в AppSec и специфического опыта в безопасности AI/ML (защита от отравления данных, инъекций в промпты). Высокая планка ответственности за архитектуру безопасности ИИ-моделей.

Анализ зарплаты

Медиана55 000 $
Рынок40 000 $ – 75 000 $
Оценка ИИ

Зарплата для Senior Security Engineer в Бангалоре в международной продуктовой компании обычно выше среднего по рынку Индии, особенно для узкой ниши AI Security. Указанный диапазон отражает рыночные стандарты для опытных специалистов в крупных технологических хабах.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Security Engineer position at 6sense, specifically within the AI/ML Security focus. With over five years of experience in information security and a deep specialization in securing machine learning pipelines, I am confident in my ability to drive platform security initiatives and protect your industry-leading technology from emerging threats.

In my previous roles, I have successfully implemented security controls for AI models and conducted red teaming exercises focused on prompt injection and adversarial attacks. My proficiency in Python and experience with frameworks like MLFlow align perfectly with your requirements for building automation pipelines and embedding security into the AI/ML SDLC. I am particularly drawn to 6sense's culture of 'Winning as One Team' and am eager to collaborate with your data science and engineering teams to ensure the robustness of your AI-powered features.

I am excited about the opportunity to contribute to 6sense's mission of multiplying growth and efficiency through secure innovation. Thank you for considering my application.

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Описание вакансии

Our Mission:

Our mission is to multiply what matters:  growth, retention, and efficiency.  We envision a future where companies, teams and people reach their full potential.

Our People:

People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging.  Every 6sensor plays a part in defining the future of our industry-leading technology.  6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers.  We want 6sense to be the best chapter of your career.

Senior Security Engineer – Application Security (AI Security Focus)

Reporting To: Manager, Security Engineering Function/Dept: Business Technology / Security

About the Role

You will drive platform security initiatives with a primary focus on securing AI/ML systems and models. You’ll partner with engineering, product, and data science teams to ensure robust security for AI-powered features and infrastructure, while maintaining coverage for traditional AppSec domains.

Responsibilities & Accountabilities

  • AI Security Leadership: Lead the design and implementation of security controls for AI/ML models, pipelines, and data flows.
  • Vulnerability Management: Ensure coverage of AI/ML and application vulnerabilities using SAST, DAST, dependency scanning, and specialized AI security tools.
  • Threat Modeling & Red Teaming: Conduct comprehensive threat modeling and AI/ML red teaming exercises, including prompt injection, jailbreaking, adversarial attack simulations, and vulnerability assessments for AI systems. Assess risks such as adversarial attacks, model theft, data poisoning, privacy risks, and other emerging threats to AI/ML models and pipelines.
  • Automation & Tooling: Build and maintain automation pipelines for AI/ML security testing and monitoring.
  • Cross-Functional Collaboration: Partner with Engineering, Product, and Data Science to embed security into AI/ML development lifecycles.
  • Incident Response: Support detection, triage, and remediation of AI/ML-specific security incidents.
  • Training & Advocacy: Facilitate secure development training focused on AI/ML risks and best practices.
  • Metrics & Reporting: Track and report status of vulnerabilities, including AI/ML-specific metrics (e.g., model robustness, data integrity).
  • Program Ownership: Design and execute quarterly OKRs for AI/ML security initiatives.

Performance Measurement

  • Demonstrates deep understanding of AI/ML security risks and mitigations.
  • Leads identification, triage, and management of AI/ML and application security issues.
  • Establishes routines for updating documentation, runbooks, and dashboards with AI/ML security content.
  • Effectively communicates complex AI/ML security topics to technical and non-technical stakeholders.

Educational and Experience Requirements

  • 5+ years in information security, with significant experience in application security and AI/ML security.
  • Hands-on experience securing AI/ML models, pipelines, and data within the AI/ML SDLC. · Familiarity with common AI/ML security threats (adversarial attacks, model inversion, data poisoning).
  • Experience with security tools for AI/ML (e.g., Adversarial Robustness Toolbox, MLFlow security plugins).
  • Development or scripting experience (Python preferred; experience with AI/ML frameworks a plus).
  • Excellent communication skills.

Preferred Qualifications

  • Bachelor’s degree in a related field.
  • Relevant certifications (e.g., AIRTP+, CAISF, Microsoft AI Security Fundamentals, AWS Certified Security – Specialty, GIAC, CISSP, CEH are highly desirable).
  • Experience working directly with software developers and data scientists to improve code/model security.

Competencies and Behaviors

  • Establishes credibility among Engineering and Data Science counterparts.
  • Advocates for AI/ML security best practices.
  • Drives tasks to completion and maintains accuracy of information.
  • Effective prioritization and escalation to management.

Our Benefits: 

Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices. 

We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds. 

Equal Opportunity Employer: 

6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com. 

We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com

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Навыки

  • Python
  • Application Security
  • AI Security
  • ML Security
  • SAST
  • DAST
  • Threat Modeling
  • Red Teaming
  • MLflow
  • Adversarial Robustness Toolbox
  • CISSP
  • AWS Certified Security

Возможные вопросы на собеседовании

Проверка практического опыта в специфических угрозах ИИ.

Расскажите о вашем опыте проведения Red Teaming для ИИ-систем. Какие методы обхода (jailbreaking) или атак на промпты вы тестировали?

Оценка навыков интеграции безопасности в процессы разработки.

Как бы вы организовали процесс Threat Modeling для нового ML-пайплайна, учитывая риски утечки данных обучения?

Проверка владения инструментарием.

Какие инструменты (например, Adversarial Robustness Toolbox) вы использовали для оценки устойчивости моделей к состязательным атакам?

Оценка навыков взаимодействия с кросс-функциональными командами.

Как вы убеждаете команду Data Science внедрять контроли безопасности, если они замедляют процесс обучения или инференса моделей?

Проверка знаний классического AppSec в контексте ИИ.

Как вы интегрируете сканирование зависимостей и SAST в специфические для ИИ рабочие процессы на базе Python?

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