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Differential Privacy Jobs (NOW HIRING)

Experience within applied privacy techniques such as differential privacy, anonymization, cryptography, privacy-preserving computation, and privacy attack frameworks. * Expertise within consent ...

Experience within applied privacy techniques such as differential privacy, anonymization, cryptography, privacy-preserving computation, and privacy attack frameworks. * Expertise within consent ...

Experience within applied privacy techniques such as differential privacy, anonymization, cryptography, privacy-preserving computation, and privacy attack frameworks. * Expertise within consent ...

Experience within applied privacy techniques such as differential privacy, anonymization, cryptography, privacy-preserving computation, and privacy attack frameworks.Expertise within consent ...

Experience working on privacy solutions in an engineering capacity (e.g. tracker blocker, differential privacy, or similar technology). * Deep technical understanding of online privacy threats and ...

Experience within applied privacy techniques such as differential privacy, anonymization, cryptography, privacy-preserving computation, and privacy attack frameworks. * Expertise within consent ...

Experience within applied privacy techniques such as differential privacy, anonymization, cryptography, privacy-preserving computation, and privacy attack frameworks. * Expertise within consent ...

Experience within applied privacy techniques such as differential privacy, anonymization, cryptography, privacy-preserving computation, and privacy attack frameworks. * Expertise within consent ...

Senior Researcher

New York, NY ยท On-site

$225K - $300K/yr

Perform cutting-edge research in market microstructure, mechanism design, and/or differential privacy . * Be a part of research breakthroughs with opportunities to realize your ideas in our products ...

Translate complex privacy-enhancing technologies-differential privacy, secure multi-party computation, federated learning-into practical product capabilities that clients can actually use * Partner ...

Senior Data Engineer

Chicago, IL ยท On-site

$70 - $80/hr

Apply privacy-preserving computation when outputs cross trust boundaries, including aggregation-before-export, pseudonymization, tokenization, differential privacy concepts, and privacy-aware ...

Translate complex privacy-enhancing technologies-differential privacy, secure multi-party computation, federated learning-into practical product capabilities that clients can actually use * Partner ...

Lead Data Engineer

Chicago, IL ยท On-site

$75 - $85/hr

Apply privacy-preserving computation, including aggregation-before-export, pseudonymization, tokenization, differential privacy concepts, and privacy-aware reporting. * Implement encryption, key ...

Translate complex privacy-enhancing technologies-differential privacy, secure multi-party computation, federated learning-into practical product capabilities that clients can actually use * Partner ...

Translate complex privacy-enhancing technologies-differential privacy, secure multi-party computation, federated learning-into practical product capabilities that clients can actually use * Partner ...

Translate complex privacy-enhancing technologies--differential privacy, secure multi-party computation, federated learning--into practical product capabilities that clients can actually use * Partner ...

Showing results 41-60

Differential Privacy information

See salary details

$99.5K

$115.5K

$129.5K

How much do differential privacy jobs pay per year?

As of Sep 11, 2026, the average yearly pay for differential privacy in the United States is $115,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,000.00 and $129,000.00 per year, depending on experience, location, and employer.

What is differential privacy?

Differential privacy is a mathematical framework used to ensure that individual data remains private when analyzing and sharing aggregate information from a dataset. It introduces controlled random noise to the results of queries or computations, making it difficult to determine whether any specific individual's data is included. This helps organizations gain insights from data while providing strong privacy guarantees for individuals, even against attackers with access to other information. Differential privacy is widely used in fields such as statistics, machine learning, and data publishing.

What are some common challenges faced by professionals working in differential privacy roles?

Professionals in differential privacy often encounter challenges balancing data utility with privacy guarantees, as stricter privacy controls can limit the usefulness of data for analysis. They also need to stay updated on evolving privacy regulations and technological advancements. Collaboration with data scientists, engineers, and legal teams is essential to ensure solutions meet both technical and compliance requirements. Additionally, translating complex mathematical concepts into practical, scalable systems that integrate smoothly with existing infrastructure can be a significant hurdle.

What are the key skills and qualifications needed to thrive as a differential privacy engineer, and why are they important?

To thrive as a Differential Privacy Engineer, you need a strong background in mathematics, statistics, computer science, and experience with privacy-preserving algorithms, usually supported by an advanced degree. Familiarity with programming languages like Python or R, privacy frameworks (such as Google's DP library), and knowledge of data security regulations are typically required. Excellent problem-solving skills, attention to detail, and the ability to communicate complex concepts to non-experts are crucial soft skills. These competencies are vital to designing robust privacy solutions that protect user data while enabling meaningful data analysis.

What is the difference between Differential Privacy vs Data Scientist?

AspectDifferential PrivacyData Scientist
Primary FocusProtecting individual data privacy in datasetsAnalyzing and interpreting complex data to inform business decisions
Required SkillsMathematics, privacy algorithms, data securityStatistics, programming, data visualization
Work EnvironmentResearch labs, tech companies, privacy-focused organizationsBusiness, tech firms, consulting
CertificationsPrivacy certifications, data security credentialsData science certifications, programming skills

While Differential Privacy focuses on implementing privacy-preserving techniques in data handling, Data Scientists analyze data to extract insights. Both roles require strong technical skills, but their core objectives differ: one emphasizes privacy protection, the other data analysis.

What cities are hiring for Differential Privacy jobs?

Cities with the most Differential Privacy job openings:

What states have the most Differential Privacy jobs?

States with the most job openings for Differential Privacy jobs include:

What other helpful pages are available for Differential Privacy?

Other pages related to Differential Privacy:

Infographic showing various Differential Privacy job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $115,505 per year, or $55.5 per hour.

Privacy Engineer, Level 4

New York, NY โ€ข On-site

Snapchat
Marketingย โ€ขย 1 - 5K employees

Full-time

Medical

Posted 13 days ago


Job description

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.


The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.


Snap Security teams protect the trust and safety of our global community by securing the systems and data that power Snapchat. We safeguard hundreds of millions of Snapchatters every day, ensuring that every product and service is built on a foundation of security and resilience. Our values guide how we anticipate and mitigate threats, collaborate across Snap, and execute with privacy at the forefront.

We're looking for a Privacy Engineer to join Snap Inc!

What you'll do:

  • Help build privacy into ads ranking and targeting systems.

  • 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.

Knowledge, Skills & Abilities:

  • 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.

Minimum Qualifications:

  • 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.

Preferred Qualifications:

  • 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.

If you have a disability or special need that requires accommodation, please don't be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $157,000-$235,000 annually.


Zone B:

The base salary range for this position is $149,000-$223,000 annually.

Zone C:

The base salary range for this position is $133,000-$200,000 annually.This position is eligible for equity in the form of RSUs.