> Markdown version of [/jobs/ext/2730525-privacy-engineer](https://www.wearedevelopers.com/jobs/ext/2730525-privacy-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Privacy Engineer - **Company:** Snap Inc. - **Location:** Santa Monica, CA, United States - **Salary:** $157,000.0 - $235,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Automation of Tests, Code Review, Computer Programming, Data Governance, Data Structures, Software Debugging, DevOps, Distributed Systems, Machine Learning, Software Tools, Security Software, Software Engineering, Data Streaming, Systems Architecture, Privacy Controls, Performance Testing, Model Validation, Information Technology - **Published:** September 5, 2026 - **Apply:** https://www.careerbuilder.com/job-details/privacy-engineer-level-4-santa-monica-ca--54a0df59-07c3-4aa9-83f0-9ebe5e853652 ## About the Role * Proficiency in, or a strong aptitude for, using AI tools to streamline development while auditing generated output for architectural integrity, performance bottlenecks, and security risks. * Experience within applied privacy techniques such as differential privacy, anonymization, cryptography, privacy-preserving computation, and privacy attack frameworks. * Expertise within consent, preference, identity, and tracking technologies, including ATT and opt-out mechanisms; privacy risks in advertising, measurement, machine learning, and embeddings. * Software engineering fundamentals, including data structures, algorithms, programming, testing, debugging, and code review. * Ability to conduct privacy reviews and threat modeling, document findings, and drive remediation with partner teams. * Ability to partner with engineering, product, legal, security, and data teams to reduce risk from design through deployment and remediation. * Strong communication skills in order to collaborate across functions, and adapt to evolving AI systems and modern engineering practices., * Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. * 2+ years of post-bachelor's privacy, security, software engineering, or related experience; or a master's degree in a technical field plus 1+ year of post-graduate experience; or a PhD in a relevant technical field. * Expertise in one or more areas such as privacy engineering, privacy reviews, data governance, privacy-safe advertising or measurement, privacy-preserving machine learning, or security engineering., * Demonstrated experience securing or privacy-enabling complex distributed systems and production-scale infrastructure. * Strong programming and software design skills, including debugging, performance analysis, testing, and automation. * Experience with privacy threat modeling, leakage or attack assessments, privacy-control validation, or privacy-preserving ML and embeddings. * Strong intellectual curiosity and motivation to keep up with evolving privacy, security, AI, and engineering practices., Advertising, Algorithms, Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Auditing, Code Reviews, Communication Skills, Computer Programming, Computer Science, Data Structures, Debugging Skills, Distributed Computing, Diversity, Documentation, Documentation Models, Ecosystems, Federal Laws and Regulations, Legal, Machine Learning, Machine Tool, Medical Conditions, Medical Genetics, Model Review, Performance Analysis, Performance Testing, Privacy Controls, Production Control, Production Systems, Risk, Risk Management, Security Software, Software Design, Software Engineering, State Laws and Regulations, System Architecture, Systems Engineering, Technical/Engineering Design, Test Automation, Testing, Threat Modeling, Threat and risk analysis (TRA) ## Description * Partner with engineering, product, legal, security, and data teams to translate privacy requirements into practical, production-ready controls that protect users, support our commitments, and preserve product utility * Develop and scale privacy-preserving approaches, auditing practices, and technical solutions across Snap's ads ecosystem. * Design and implement privacy controls for production systems, considering architecture, scale, performance, reliability, and operational risk. * Lead privacy reviews, threat modeling, and risk assessments for products, services, data flows, APIs, and technical designs. * Utilize AI tools and high-velocity engineering workflows to ship scalable services while maintaining rigorous standards for correctness, security, and production quality. * Support privacy-safe advertising and measurement. * Evaluate privacy-preserving approaches for machine-learning systems, including leakage and attack risks. * Help define and evolve privacy standards, practices, tooling, and documentation across Snap. ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Data Privacy in LLMs: Challenges and Best Practices](https://www.wearedevelopers.com/videos/1218-data-privacy-in-llms-challenges-and-best-practices) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 119 - ❤️ === ❤️](https://www.wearedevelopers.com/magazine/454-dev-digest-119) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing) - [AI & A11Y, Meta's privacy and the future of SEO](https://www.wearedevelopers.com/magazine/599-ai-a11y-meta-s-privacy-and-the-future-of-seo) - [Trustworthy AI Starts at Deployment: 5 Checks Before You Ship](https://www.wearedevelopers.com/magazine/753-trustworthy-ai-starts-at-deployment-5-checks-before-you-ship) - [Dev Digest 129 - Now that's what I call private data!](https://www.wearedevelopers.com/magazine/468-dev-digest-129-now-that-s-what-i-call-private-data)