Privacy Engineer, Level 4

Snap Inc.

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Bellevue, WALos Angeles, CANew York, NYPalo Alto, CA
Salary: $157,000–$235,000 / yr
Posted: 58 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $184k

This role $196k

$140k $245k

below market most similar roles pay here above market

This role pays more than 60% of similar roles. Most pay $157,312–$211,200 — the blue band above. At the midpoint, this role pays about $196k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About Snap Inc.

Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.

Snap Inc. currently has 104 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 94 roles with salary data.

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View all roles at Snap Inc.

At a glance

TL;DR · Privacy Engineer, Level 4

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The Privacy Engineer, Level 4 joins the Engineering team to build privacy into ads ranking and targeting systems. This role involves partnering with engineering, product, legal, security, and data teams to translate requirements into production-ready controls that protect users while preserving product utility. You will develop privacy-preserving approaches, audit practices, and technical solutions across the ads ecosystem, including designing controls for production systems and leading threat modeling for data flows and APIs. Key skills include proficiency in AI tools, differential privacy, anonymization, cryptography, and privacy-preserving computation. You must possess expertise in consent, identity, and tracking technologies like ATT. The role focuses on solving technical problems related to privacy-safe advertising, measurement, and machine learning, specifically addressing leakage and attack risks within complex distributed systems and production-scale infrastructure.

Skills

Differential Privacy Cryptography Machine Learning Threat Modeling Data Governance Anonymization Privacy-Preserving Computation Distributed Systems Data Structures Algorithms Testing Debugging Code Review ATT Embeddings

What you'll do

Build privacy into ads ranking and targeting systems.
Translate privacy requirements into practical, production-ready technical controls.
Develop and scale privacy-preserving approaches and auditing practices across the ads ecosystem.
Design and implement privacy controls for production systems considering scale, performance, and reliability.
Lead privacy reviews, threat modeling, and risk assessments for products, data flows, and APIs.
Evaluate privacy-preserving approaches for machine-learning systems, including leakage and attack risks.
Define and evolve privacy standards, tooling, and documentation across the company.

What we're looking for

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
2+ years of post-bachelor’s experience in privacy, security, software engineering, or a master’s degree plus 1+ year of experience.
PhD in a relevant technical field.
Expertise in privacy engineering, privacy reviews, data governance, privacy-safe advertising, privacy-preserving machine learning, or security engineering.
Proficiency in software engineering fundamentals including data structures, algorithms, programming, testing, debugging, and code review.
Experience with applied privacy techniques such as differential privacy, anonymization, cryptography, and privacy-preserving computation.
Expertise in consent, preference, identity, and tracking technologies including ATT and opt-out mechanisms.
Demonstrated experience securing or privacy-enabling complex distributed systems and production-scale infrastructure (preferred).

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