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Differential Privacy Jobs (NOW HIRING)

Senior Research Scientist, Machine Learning

$100K - $128K/yr

... differential privacy Company : Analog Devices (NYSE: ADI) defines innovation and excellence in signal processing. ADI's analog, mixed-signal, and digital signal Founded in 1965, the company is ...

Experience with privacy-preserving ML (redaction, differential privacy, data governance). * Deep familiarity with memory/retrieval literature or prior work on memory systems. * Expertise with ...

... differential privacy, federated learning, or other privacy-preserving ML techniquesBackground in threat modeling and security architecture designFamiliarity with accessibility considerations in AI/ML ...

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 ...

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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:
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.
Software Engineer, Ads Measurement Signal and Privacy - Infra

Software Engineer, Ads Measurement Signal and Privacy - Infra

TikTok

San Jose, CA • On-site

$156K - $316K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted yesterday


TikTok rating

7.6

Company rating: 7.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

112th of 186 rated software companies


Job description

Responsibilities
Our Ads Measurement Signal and Privacy team (MSP) is missioned to build our security and governance infrastructure and process for the ads system end-to-end while making sure our platform with large volume of various signals and data are constantly compliant with regional regulations across the world. The team will be responsible for exploring and implementing cutting-edge privacy-enhancing technologies to protect our users while keeping TikTok a free and creative community. You will be a key player in data privacy, protection, security and managing cross-functional programs to continuously improve the process. Responsibility 1. Responsible for building a graph-based system architecture in advertising business scenarios, establishing innovative R&D, delivery, and O&M models to achieve intelligent resource orchestration. 2. Participate in developing new capabilities such as graph execution engines, hot updates for operators, and graph-based delivery systems, while driving business abstraction and refactoring of critical modules in advertising systems. 3. Break down long-term goals into actionable implementation paths, organize and lead project teams to build a graph-based Serverless infrastructure foundation. 4. Implement operator-driven computational orchestration for advertising systems using engineering models, continuously optimize system throughput and latency to deliver tangible business benefits.
Qualifications
Minimum Qualifications:
• BS/MS Degree in Computer Science, Computer Engineering or relevant technical field, with related working experience.
• Experienced in building backend services for large-scale consumer-facing applications.
• Proficiency in at least one of the following languages: Go, C++, Java, Go, Python.
• Good communication and teamwork skills. Preferred Qualifications:
• Experience collaborating with compliance and policy teams, government entities, external privacy-focused community members and members of the press.
• Experience with cutting-edge data privacy security technologies, such as differential privacy, homomorphic encryption, federated learning etc. Specific production practices are preferred.
• Experience in Ads domain.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $156000 - $316800 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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