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Differential Privacy Jobs (NOW HIRING)

Senior Data Engineer

Cupertino, CA · On-site

$130K - $177K/yr

... g., differential privacy, federated learning, secure multi-party computation, or on-device intelligence) Experience building LLM-driven or agentic workflows for automated data operations, such as ...

Lead Architect, Ads Measurement

Cupertino, CA · On-site

$68.25 - $93.50/hr

... differential privacy, federated learning, secure multi-party computation, or on-device intelligence Understanding of privacy related regulations and policies (e.g., GDPR, CCPA) and their impact on ...

... differential privacy or other privacy-enhancing technologies Experience and interest in using LLM technologies and their integration, understanding how to leverage AI capabilities to enhance code ...

Sr. Developer (USCB)

Greenbelt, MD · Remote

$55.75 - $73.75/hr

The DAS serves as the privacy-protection mechanism, processing the Census Edited File (CEF) with advanced privacy-preserving algorithms based on differential privacy to generate the Microdata Detail ...

Sr. Developer (US Census Bureau)

Greenbelt, MD · On-site

$55 - $72.50/hr

The DAS serves as the privacy-protection mechanism, processing the Census Edited File (CEF) with advanced privacy-preserving algorithms based on differential privacy to generate the Microdata Detail ...

Sr. Developer

Greenbelt, MD · Remote

$55.75 - $73.75/hr

The DAS serves as the privacy-protection mechanism, processing the Census Edited File (CEF) with advanced privacy-preserving algorithms based on differential privacy to generate the Microdata Detail ...

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Showing results 1-20

Differential Privacy information

See salary details

$99.5K

$115.5K

$129.5K

How much do differential privacy jobs pay per year?

As of Jul 8, 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:
Infographic showing various Differential Privacy job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, and 3% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $115,505 per year, or $55.5 per hour.
Software Development Engineer II, Devices & Services Trust CX Innovations

Software Development Engineer II, Devices & Services Trust CX Innovations

Amazon

Bellevue, WA

Full-time

Re-posted 5 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,933 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon's Devices & Services Trust CX Innovations team builds responsible AI for consumer devices. We deliver privacy-first, accessible, and trustworthy AI experiences across Amazon's device ecosystem-Alexa, Echo, and ambient computing products. Our mission: push the boundaries of generative AI innovation while maintaining Amazon's high bar for customer trust, privacy, inclusion, and accessibility.
Build foundational systems and consumer-facing features that enable trustworthy AI experiences at scale

Partner with our Product Manager-Technical to design privacy-preserving AI architectures, responsible AI frameworks, and accessibility features. Tackle complex technical challenges at the intersection of AI innovation and customer trust.
Key job responsibilities
What You'll Build
- Architect on-device vs. cloud processing trade-offs that optimize for privacy and performance
- Design and implement federated learning and differential privacy techniques for hybrid AI architectures
- Develop AI evaluation frameworks to measure model quality, safety, and bias across diverse customer populations
- Build observability and monitoring systems for AI performance, hallucination detection, and trust metrics
- Implement WCAG 2.1 AA and Section 508 compliance for AI-powered interfaces across voice, visual, and multimodal experiences
- Create explainable AI interfaces and transparency controls that show customers what data is used and how
- Build privacy dashboards and consent management frameworks that give customers control
Key Technical Challenges
- Latency vs

Privacy: Optimize response times while maintaining strong privacy guarantees through on-device processing and selective cloud offloading
- AI Safety at Scale: Reduce hallucinations to <1% while maintaining 95%+ accuracy across diverse customer queries
- Ambient Computing Privacy: Build privacy controls for always-on environments that balance proactive assistance with clear boundaries
- Multimodal AI Systems: Architect distributed systems that handle text, voice, and visual inputs while preserving privacy across modalities
What Success Looks Like
- Make technical decisions that prioritize customer trust even when it means additional complexity
- Write clean, maintainable code and establish best practices that enable the team to move fast
- Implement privacy-preserving techniques without sacrificing user experience
- Thrive in ambiguous environments and ship iteratively based on customer feedback
- Design systems that work for all customers, considering diverse abilities and use cases from the start
Why Join Us
- Shape the future of responsible AI and set industry standards for privacy and trust
- Work on generative AI technology that impacts millions of customers daily
- Solve novel technical challenges at the intersection of AI innovation and customer protection


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US