CrawlJobs Logo
Meta Logo Meta · IT - Software Development

Privacy Engineer, Red Team

United States, Menlo Park 154000.00 - 217000.00 USD / Year · Job Posted March 01, 2026
Apply Position
Job Link Share

Job Description

Meta's Privacy Red Team is seeking experienced, passionate ethical hackers who thrive on discovering privacy weaknesses, to better protect user privacy of over a billion people. Your adversarial mindset and offensive privacy skills will be put to work carrying out offensive privacy testing on operations across our products and services. You will partner with engineering and product teams, in driving remediation of weaknesses you have identified, to ensure that Meta leads with world-class privacy practices.

Job Responsibility

  • Execute technical, hands-on, offensive privacy testing to identify and exploit privacy weaknesses
  • Work with cross-functional teams to drive remediation of privacy weaknesses
  • Effectively communicate findings from operations to a technical audience
  • Continuously identify and test ways that we can be better by improving team processes
  • Be an advocate for best practice in protecting user data against privacy threat actors
  • Planning and leading campaign-style red team operations testing response teams

Requirements

  • 5+ years experience in a related discipline such as red teaming, penetration testing, vulnerability research, product security or security/privacy research
  • 3+ years hands-on offensive testing skills (e.g. offensive security, pentesting, red teaming, vulnerability research, etc.)
  • 2+ years experience of scripting (PHP, Python, Perl, Ruby, etc.)
  • Communication experience with researchers, engineering and product teams

Nice to have

  • Experience with offensive testing of at least one of the following: web, iOS, Android
  • Experience with big data and relational databases (Hive, Presto, MySQL, etc.)
  • Contributions to the privacy or security community (participation in bug bounty programs, public research, blogging, presentations, etc.)

What we offer

  • bonus
  • equity
  • benefits
Meta - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Privacy Engineer, Red Team

8 matching positions

Privacy Technologist II - AI

Uber's Engineering Security organization runs technical privacy reviews for prod...
Location
Location
Brazil , Sao Paulo
Salary
Salary:
Not provided
uber.com Logo
Uber
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years working in privacy engineering, privacy red teaming, or as a privacy-focused product manager
  • Ability to read engineering design documents, understand system architecture and data flows, and ask detailed technical questions
  • Experience managing a product roadmap for technical tooling
  • Strong written and verbal English: you produce privacy guidance and risk summaries that both engineering and non-engineering audiences can act on
  • Understanding Agentic AI privacy risks
Job Responsibility
Job Responsibility
  • Perform technical privacy reviews of engineering design documents
  • Product-manage Uber's anonymization pipelines
  • Evaluate and improve AI-powered review tooling
  • Communicate privacy risks and recommendations to leadership, TPMs, and engineering teams
  • Help establish review templates, standards, and reusable artifacts
  • Fulltime
Read More
Arrow Right

Senior Software Engineer - Copilot Security

Copilot Security is at the core of Microsoft’s mission to deliver trusted, human...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • 3+ years in technical engineering roles building large-scale services.
  • Hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.
  • Proven ability to design, build, and ship agentic AI features or frameworks.
  • Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.
  • Agentic AI Development & Orchestration: Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms
  • familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns.
  • Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.
  • Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses
  • understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.
Job Responsibility
Job Responsibility
  • Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows.
  • Implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms.
  • Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.
  • Collaborate with product, engineering, security, privacy, and AI teams to adopt agentic security patterns and best practices across Copilot and MAI.
  • Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement.
  • Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.
  • Fulltime
Read More
Arrow Right

Principal Software Engineer - Copilot Security

Copilot Security is at the core of Microsoft’s mission to deliver trusted, human...
Location
Location
United States , Redmond, WA
Salary
Salary:
163000.00 - 296400.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, Go, or Python OR equivalent experience
  • 8+ years in technical engineering roles building large-scale services
  • 8+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses
  • Proven ability to design, build, and ship agentic AI features or frameworks
  • Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps
  • Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms
  • familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns
  • Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments
  • Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses
  • understanding of AI safety evaluation methodologies including adversarial testing and red-teaming
Job Responsibility
Job Responsibility
  • Develop and ship agentic AI-powered security features that protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows
  • Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms
  • Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy
  • Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI
  • Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement
  • Align with central Microsoft security and AI roadmaps, landing platform capabilities in Copilot and MAI consumer scenarios
  • Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions
  • Fulltime
Read More
Arrow Right

Principal Software Engineer - Copilot Security

Copilot Security is at the core of Microsoft’s mission to deliver trusted, human...
Location
Location
United States , Redmond
Salary
Salary:
139900.00 - 274800.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience
  • 8+ years in technical engineering roles building large-scale services
  • 6+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses
  • Proven ability to design, build, and ship agentic AI features or frameworks
  • Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps
  • Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms
  • familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation patterns
  • Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments
  • Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses
Job Responsibility
Job Responsibility
  • Develop and ship agentic AI-powered security features that proactively protect users from threats such as prompt injection, adversarial manipulation, and abuse of agentic workflows
  • Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions across devices, services, and platforms
  • Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy
  • Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI
  • Establish and monitor key metrics for agentic AI security and innovation, using data-driven insights to continuously improve defenses and enablement
  • Align with central Microsoft security and AI roadmaps, influencing platform capabilities and landing them in Copilot and MAI consumer scenarios
  • Document and evangelize secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions
  • Mentor engineers and foster a culture of secure innovation, balancing rapid development with rigorous protection for customers
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer

We are seeking a Senior Machine Learning Engineer to tackle some of the hardest ...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
  • 4+ years of hands‑on experience building and shipping machine learning systems in production.
  • Solid foundation in ML fundamentals, including classification, anomaly detection, representation learning, and model evaluation.
  • Proficiency in Python and experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow).
  • Experience designing end‑to‑end ML pipelines: data collection, training, evaluation, deployment, and monitoring.
  • Ability to reason about adversarial behavior, threat models, and failure modes in AI/ML systems.
  • Experience working on AI safety, trust, or security‑adjacent ML problems, including prompt injection, abuse detection, or adversarial ML.
  • Familiarity with agentic or LLM‑based systems, including tool calling, multi‑step reasoning, or orchestration flows.
  • Experience building ML evaluation and observability systems for real‑world AI behavior (e.g., adversarial testing, red‑team loops, robustness metrics).
  • Exposure to distributed ML systems, large‑scale data processing, or model serving in cloud environments.
Job Responsibility
Job Responsibility
  • Design, train, and deploy ML‑based defenses for threats such as prompt injection, adversarial inputs, and abuse of agentic workflows.
  • Develop adaptive detection and policy models that learn from evolving attacker behavior rather than relying solely on static rules or signatures.
  • Build and own evaluation frameworks for AI security, including adversarial testing, red‑teaming support, and continuous robustness measurement across real Copilot scenarios.
  • Partner with security and engineering teams to integrate ML defenses into secure orchestration frameworks that govern agent delegation, tool calling, and action execution.
  • Apply ML to encode security “common sense” and judgment into AI responses, balancing usefulness, safety, and user intent.
  • Monitor and analyze telemetry to improve model performance, reduce false positives/negatives, and guide iterative defense improvements.
  • Collaborate cross‑functionally with product, privacy, and AI platform teams to land agentic security patterns across Copilot and MAI.
  • Document and share applied ML security techniques, helping establish best practices for secure agentic AI across Microsoft.
  • Fulltime
Read More
Arrow Right

Security and Application Security Engineer

Beacon Technologies is seeking a Security and Application Security Engineer. The...
Location
Location
United States , Las Vegas
Salary
Salary:
Not provided
beacontechinc.com Logo
Beacon Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum of five years of Information Security experience with at least two years of application-level security
  • Strong communication skills: ability to convey and document security guidelines, requirements, and coding best practices
  • Familiarity with Security Best Practices in common coding languages
  • Application Penetration Testing / API Security Testing
  • Software Development Life Cycle Design and Implementation
  • Static and Dynamic Application Testing Tools and Methods
  • Container and orchestration security (Kubernetes, Docker, Octopus, GitHub, etc.)
  • Familiarity with Application Security Testing Frameworks such as OWASP
  • Strong logical and analytical thinker
  • exceptional skills in security systems solutions
Job Responsibility
Job Responsibility
  • Operate as a liaison between the Security Team and the Development Teams
  • Preserve PCI and SOX Security Certification programs with a primary focus on ensuring compliance with the appropriate industry standards and security controls
  • Supporting incident response and architecture review whenever applications security expertise is needed
  • Integrating threat modeling practices into the SDLC
  • Work with other staff to perform periodic scans and evaluation of system security including areas such as patch management, penetration testing, vulnerability assessments, and other types of InfoSec-related tasks
  • Assist in identifying and communicating security exposures, information security incidents or non-compliance situations to IT management or the CISO as appropriate. Duties may also include collecting and documenting cyber security and incident response event data as necessary.
What we offer
What we offer
  • Career advancement opportunities
  • extensive training
  • excellent benefits including paying for health and dental premiums for salaried employees.
  • Fulltime
Read More
Arrow Right

Senior Engineer- Artificial Intelligence

At Tucows, we have spent three decades building the software and infrastructure ...
Location
Location
Canada
Salary
Salary:
126090.00 - 140100.00 CAD / Year
tucows.com Logo
Tucows
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of professional software engineering experience, with a proven track record of shipping production-ready applications
  • Demonstrated expertise working with Large Language Models (LLMs) and agentic frameworks, with a solid understanding of how to apply them to real-world production systems
  • Advanced proficiency in Python is required
  • Hands-on experience with Go, or a demonstrated ability to ramp quickly in a Go-heavy environment, is strongly preferred
  • Familiarity with modern DevOps practices, including CI/CD, Docker, and cloud-based inference pipelines on AWS
  • Exceptional ability to translate complex AI concepts into clear, actionable language for both technical and non-technical audiences
  • comfortable leading discussions, influencing decisions, and mentoring engineers at all levels
Job Responsibility
Job Responsibility
  • Design and implement scalable AI-driven features with a focus on multi-agent systems and advanced RAG architectures
  • Move beyond the prototype. Own the full lifecycle of AI services, from model selection and deployment to monitoring in a Kubernetes environment
  • Write clean, maintainable code primarily in Python, while collaborating on core infrastructure services written in Go
  • Establish clear standards for data privacy, model bias, and security, including practices like model cards, red-teaming protocols, and privacy impact assessments, ensuring our AI initiatives remain transparent and aligned with our commitment to user trust
  • Fulltime
Read More
Arrow Right

Senior Test Engineer- AI Testing

Location
Location
Morocco , Rabat
Salary
Salary:
Not provided
cyclad.pl Logo
Cyclad Sp. z o.o.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience: 6 - 8 years
  • Strong experience in software testing (manual + automation) with focus on AI systems
  • Hands-on expertise in Python for test automation, data validation, and AI testing scripts
  • Knowledge of Gen AI frameworks (Langchain, Langgraph, CrewAI)
  • Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)
  • Strong understanding of data validation, model evaluation metrics, and drift detection
  • API testing experience (REST, GraphQL) with tools like Postman or REST Assured
  • Solid knowledge of cloud platforms (AWS, Azure, GCP) for AI deployments
  • Exposure to AI ethics and compliance testing
  • Knowledge of containerization & orchestration (Docker, Kubernetes)
Job Responsibility
Job Responsibility
  • Design and execute test strategies for machine learning models (classification, regression, NLP, CV, etc.)
  • Validate model accuracy, fairness, bias detection, explainability, and robustness under varying datasets
  • Perform adversarial testing and edge-case validation for AI systems
  • Test autonomous agents, multi-step reasoning paths, and state transitions
  • Validate correctness, grounding, consistency, and safety of LLM outputs
  • Evaluate prompt robustness and behavioral variations across scenarios
  • Validate retrieval accuracy, grounding quality, and hallucination reduction
  • Test vector store behavior, document chunking logic, and retriever configurations
  • Validate fallback behaviors when tools or external services fail
  • Execute adversarial, prompt-injection, and red team style testing
Read More
Arrow Right