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 ...
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 ...
Technical Data Product Manager, Apple Media Marketing Data
Culver City, CA · On-site
$182K - $211K/yr
... differential privacy, federated learning, or on-device computation to enable privacy-compliant measurement at scale Prior experience in subscription economics, customer lifetime modeling, or multi ...
Technical Data Product Manager, Apple Media Marketing Data
Culver City, CA · On-site
$182K - $211K/yr
... differential privacy, federated learning, or on-device computation to enable privacy-compliant measurement at scale Prior experience in subscription economics, customer lifetime modeling, or multi ...
Postdoctoral Fellowship in Electrical and Computer Engineering
Cambridge, MA · On-site
$67K - $91K/yr
AI alignment, (differential) privacy, and coding or information theory for AI systems. Proficiency in Python and experience with GPU cluster environments (e.g., SLURM) are a plus. Special ...
Postdoctoral Fellowship in Electrical and Computer Engineering
Cambridge, MA · On-site
$67K - $91K/yr
AI alignment, (differential) privacy, and coding or information theory for AI systems. Proficiency in Python and experience with GPU cluster environments (e.g., SLURM) are a plus. Special ...
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 ...
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 ...
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 ...
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 ...
Familiarity with Privacy Preserving Technologies such as Fully Homomorphic Encryption (FHE), Secure Multiparty Computation or differential privacy. * Strong understanding of IEEE floating point ...
Quick apply
Familiarity with Privacy Preserving Technologies such as Fully Homomorphic Encryption (FHE), Secure Multiparty Computation or differential privacy. * Strong understanding of IEEE floating point ...
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 ...
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 ...
Privacy-preserving technologies (e.g., differential privacy). MS degree in Business Management, Data Management, Computer Science, Engineering, Information Technology.
Privacy-preserving technologies (e.g., differential privacy). MS degree in Business Management, Data Management, Computer Science, Engineering, Information Technology.
... differential privacy techniques • Experience building security systems specifically for genomic data • Proven track record of implementing systems that meet or exceed HIPAA Security Rule ...
Quick apply
... differential privacy techniques • Experience building security systems specifically for genomic data • Proven track record of implementing systems that meet or exceed HIPAA Security Rule ...
Lead Artificial Intelligence Engineer
Las Vegas, NV · On-site
$97K - $128K/yr
Model explainability (SHAP, LIME). • Fairness, bias detection, model risk controls. • Privacy-preserving ML techniques (differential privacy, federated learning). • Programming & Tooling:
Lead Artificial Intelligence Engineer
Las Vegas, NV · On-site
$97K - $128K/yr
Model explainability (SHAP, LIME). • Fairness, bias detection, model risk controls. • Privacy-preserving ML techniques (differential privacy, federated learning). • Programming & Tooling:
Lead Artificial Intelligence Engineer
$99K - $130K/yr
Privacy-preserving ML techniques (differential privacy, federated learning) * Programming & Tooling * Python, PyTorch, TensorFlow, JAX * LangChain, semantic search, vector embeddings * Prompt ...
Lead Artificial Intelligence Engineer
$99K - $130K/yr
Privacy-preserving ML techniques (differential privacy, federated learning) * Programming & Tooling * Python, PyTorch, TensorFlow, JAX * LangChain, semantic search, vector embeddings * Prompt ...
Lead Artificial Intelligence Engineer
$99K - $130K/yr
Privacy-preserving ML techniques (differential privacy, federated learning) * Programming & Tooling * Python, PyTorch, TensorFlow, JAX * LangChain, semantic search, vector embeddings * Prompt ...
Quick apply
Lead Artificial Intelligence Engineer
$99K - $130K/yr
Privacy-preserving ML techniques (differential privacy, federated learning) * Programming & Tooling * Python, PyTorch, TensorFlow, JAX * LangChain, semantic search, vector embeddings * Prompt ...
Lead Artificial Intelligence Engineer
Las Vegas, NV · On-site
$99K - $130K/yr
Privacy-preserving ML techniques (differential privacy, federated learning) * Programming & Tooling * Python, PyTorch, TensorFlow, JAX * LangChain, semantic search, vector embeddings * Prompt ...
Lead Artificial Intelligence Engineer
Las Vegas, NV · On-site
$99K - $130K/yr
Privacy-preserving ML techniques (differential privacy, federated learning) * Programming & Tooling * Python, PyTorch, TensorFlow, JAX * LangChain, semantic search, vector embeddings * Prompt ...
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 ...
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 ...
Lead Artificial Intelligence Engineer
$99K - $130K/yr
Privacy-preserving ML techniques (differential privacy, federated learning) * Programming & Tooling * Python, PyTorch, TensorFlow, JAX * LangChain, semantic search, vector embeddings * Prompt ...
Lead Artificial Intelligence Engineer
$99K - $130K/yr
Privacy-preserving ML techniques (differential privacy, federated learning) * Programming & Tooling * Python, PyTorch, TensorFlow, JAX * LangChain, semantic search, vector embeddings * Prompt ...
... 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 ...
... 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. Technical Product Manager, Trust CX Innovations
Seattle, WA · On-site
$190K - $219K/yr
... privacy technologies (differential privacy, federated learning, etc.) - Experience with accessibility technologies and standards (WCAG, Section 508, ADA compliance) - Knowledge of global privacy ...
Sr. Technical Product Manager, Trust CX Innovations
Seattle, WA · On-site
$190K - $219K/yr
... privacy technologies (differential privacy, federated learning, etc.) - Experience with accessibility technologies and standards (WCAG, Section 508, ADA compliance) - Knowledge of global privacy ...
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 (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 (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 ...
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 ...
Differential Privacy information
See salary details
$100.7K is the 25th percentile. Wages below this are outliers.
$99.5K - $102.2K
56% of jobs
$102.2K - $105K
0% of jobs
$105K - $107.7K
0% of jobs
$107.7K - $110.4K
0% of jobs
$110.4K - $113.1K
0% of jobs
$113.1K - $115.9K
0% of jobs
$115.9K - $118.6K
0% of jobs
$118.6K - $121.3K
0% of jobs
$121.3K - $124K
0% of jobs
$124K - $126.8K
0% of jobs
$127.9K is the 75th percentile. Wages above this are outliers.
$126.8K - $129.5K
44% of jobs
$99.5K
$115.5K
$129.5K
How much do differential privacy jobs pay per year?
What are some common challenges faced by professionals working in differential privacy roles?
What is differential privacy?
What is the difference between Differential Privacy vs Data Scientist?
| Aspect | Differential Privacy | Data Scientist |
|---|---|---|
| Primary Focus | Protecting individual data privacy in datasets | Analyzing and interpreting complex data to inform business decisions |
| Required Skills | Mathematics, privacy algorithms, data security | Statistics, programming, data visualization |
| Work Environment | Research labs, tech companies, privacy-focused organizations | Business, tech firms, consulting |
| Certifications | Privacy certifications, data security credentials | Data 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?

Full-time
Re-posted 5 days ago
Amazon rating
7.4
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
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