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Privacy Preserving Research Intern Jobs (NOW HIRING)

AIML Privacy-Engineering Rotation

Cupertino, CA · On-site

$124K - $159K/yr

The Privacy Preserving Machine Learning team works with teams all across the company to provide ... Ability to learn and research new technologies and use-cases rapidly, assess privacy exposures, and ...

Description RESEARCH INTERN New York University Tandon School of Engineering The Department of Computer Science at NYU Tandon School of Engineering is seeking to hire a Research Intern to work with ...

Are familiar with privacy-preserving machine learning techniques, algorithmic auditing and/or secure system design About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring ...

The Privacy Preserving Machine Learning team works with teams all across the company to provide ... Ability to learn and research new technologies and use-cases rapidly, assess privacy exposures, and ...

The Advancement Research intern will support the Development Research Team in providing high ... Strong sense of ethics and donor privacy protection. Resourceful in collecting disparate pieces of ...

The Privacy Preserving Machine Learning team works with teams all across the company to provide ... Ability to learn and research new technologies and use-cases rapidly, assess privacy exposures, and ...

We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data ...

... of a successful researcher in this role. An intern has an option to work either full time or ... privacy-preserving, detection/prevention for adversarial agents, and alignment with user ...

Privacy Engineer, User Privacy

Cupertino, CA · On-site

$124K - $159K/yr

... research studies that help develop these features. This includes feature reviews and the design of new, privacy preserving data collection methodologies to enable the evaluation of health and fitness ...

$18/hr

... research in explainable privacy-preserving cryptographic systems, with a focus on Zero-KnowledgeProofs and modern identity technologies (e.g., verifiable credentials, anonymous authentication)

... research studies that help develop these features. This includes feature reviews and the design of new, privacy preserving data collection methodologies to enable the evaluation of health and fitness ...

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Privacy Preserving Research Intern information

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$2.1K

$6.4K

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How much do privacy preserving research intern jobs pay per month?

As of Jun 9, 2026, the average monthly pay for privacy preserving research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What types of projects do Privacy Preserving Research Interns typically work on, and how do they collaborate with other teams?

Privacy Preserving Research Interns often focus on developing and evaluating new algorithms or frameworks that enable data analysis while protecting sensitive information. Projects may include implementing secure multi-party computation, differential privacy techniques, or federated learning systems. Interns regularly collaborate with data scientists, machine learning engineers, and legal or compliance teams to ensure solutions align with privacy regulations and organizational goals. This cross-functional teamwork provides valuable exposure to both technical and policy-driven aspects of privacy research.

What does a Privacy Preserving Research Intern do?

A Privacy Preserving Research Intern works on developing and implementing techniques that protect user data privacy in research settings, often within fields like machine learning, data science, or cybersecurity. Their responsibilities include researching and applying privacy-preserving algorithms, such as differential privacy or federated learning, analyzing data privacy risks, and assisting in the creation of secure data-sharing protocols. They often collaborate with senior researchers and engineers to ensure data confidentiality while enabling valuable insights from data analysis.

What is the difference between Privacy Preserving Research Intern vs Data Privacy Intern?

AspectPrivacy Preserving Research InternData Privacy Intern
Required CredentialsTypically pursuing or holding a degree in computer science, data science, or related fields; familiarity with privacy-preserving techniquesSimilar credentials; focus on data privacy laws, policies, and technical understanding of privacy tools
Work EnvironmentResearch-focused, often in academic or corporate R&D settings, developing privacy algorithmsPractical, policy-oriented, working with data management teams to ensure compliance and privacy standards
Employer & Industry UsageTech companies, research institutions, and startups working on privacy techOrganizations handling sensitive data, including healthcare, finance, and tech firms

Both roles involve working with data privacy, but the Privacy Preserving Research Intern focuses more on developing technical privacy solutions, while the Data Privacy Intern emphasizes policy, compliance, and data management practices.

What are the key skills and qualifications needed to thrive as a Privacy Preserving Research Intern, and why are they important?

To thrive as a Privacy Preserving Research Intern, you need a solid background in computer science, mathematics, or related fields, with knowledge of privacy-enhancing technologies and data protection principles. Familiarity with programming languages such as Python or C++, experience with machine learning frameworks, and understanding cryptographic systems or privacy tools like differential privacy are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns stand out when collaborating with research teams and presenting findings. These skills are crucial for developing secure, innovative solutions that protect data privacy while advancing research objectives.
Infographic showing various Privacy Preserving Research Intern job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.
AIML Privacy-Engineering Rotation

AIML Privacy-Engineering Rotation

Apple

Cupertino, CA • On-site

$124K - $159K/yr

Full-time

Posted 23 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.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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