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Differential Privacy Jobs (NOW HIRING)

Apple

AIML Privacy-Engineering Rotation

Cupertino, CA · On-site

$124K - $159K/yr

Experience with differential privacy or private federated learning.BS in Computer Science, EE or equivalent experience. Real-world experience implementing privacy/trust/security measures which have ...

Apple

AIML Privacy-Engineering Rotation

Cupertino, CA

$126K - $220K/yr

Experience with differential privacy or private federated learning. BS in Computer Science, EE or equivalent experience. Pay & Benefits At Apple, base pay is one part of our total compensation ...

OpenAI

Research Engineer, Privacy

San Francisco, CA · On-site

$380K - $445K/yr

You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and data memorization. Moreover, you will focus on ...

Apple

AIML Privacy-Engineering Rotation

Cupertino, CA

$126K - $220K/yr

Experience with differential privacy or private federated learning. BS in Computer Science, EE or equivalent experience. Pay & Benefits At Apple, base pay is one part of our total compensation ...

Netflix

OR

This role is for a Research Scientist to focus on signal privacy, including differential privacy in 3rd party signals, privacy enhanced technologies in ad targeting, ranking and optimization, and ...

Harvard University

OpenDP Research Associate

Cambridge, MA · On-site

$68K - $95K/yr

Key responsibilities include working with the OpenDP team, our collaborators and community members on applying differential privacy in building software tools for data science problems, writing grant ...

Waymo

Staff Software Engineer, Privacy

Mountain View, CA · On-site

$251K - $310K/yr

Familiarity with privacy-preserving machine learning techniques, such as Differential Privacy, Federated Learning, or Homomorphic Encryption. * Experience building first-class user facing products.

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Differential Privacy information

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$99.5K

$115.5K

$129.5K

How much do differential privacy jobs pay per year?

As of Jun 7, 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 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 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 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 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.
More about Differential Privacy jobs
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 job categories do people searching Differential Privacy jobs look for? The top searched job categories for Differential Privacy jobs are:
Differential Privacy jobs near you
Infographic showing various Differential Privacy job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $115,505 per year, or $55.5 per hour.
AIML Privacy-Engineering Rotation

AIML Privacy-Engineering Rotation

Apple

Cupertino, CA • On-site

$124K - $159K/yr

Full-time

Posted 22 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple delivers great features and privacy to our users. This unique role combines Privacy Engineering with hands-on software engineering work with the Privacy Preserving Machine Learning team. The Privacy Preserving Machine Learning team works with teams all across the company to provide tools and support for state of the art privacy-preserving measurement and machine learning. We are looking for an outstanding candidate with a strong interest in privacy in practice to take on this unique role.
We are seeking an experienced engineer and privacy advocate to build privacy-preserving technologies for measurement and machine learning and guide policy and product decisions to uphold Apple's industry leading privacy bar.Successful candidates will need to have strong interpersonal skills and the ability to influence and build consensus and work across multiple teams and organizations on a regular basis.
Passion for customer privacy.Strong collaboration, communication, interpersonal, and organizational skills.Strong software engineering skills and ability to solve complex problems independently.Experience with differential privacy or private federated learning.BS in Computer Science, EE or equivalent experience.
Real-world experience implementing privacy/trust/security measures which have shipped in a consumer product and/or service.Participation in public standards forums or academic publications in privacy and machine learning strongly preferred. Ability to analyze systems' architectures for privacy impact.Ability to learn and research new technologies and use-cases rapidly, assess privacy exposures, and suggest mitigations.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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