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Privacy Preserving Machine Learning Jobs (NOW HIRING)

Apple

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 tools and support for state of the art privacy-preserving measurement and machine learning. We are ...

Apple

AIML Privacy-Engineering Rotation

Cupertino, CA

$126K - $220K/yr

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 ...

Apple

AIML Privacy-Engineering Rotation

Cupertino, CA

$126K - $220K/yr

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 ...

OpenAI

Researcher, Safety & Privacy

San Francisco, CA · On-site

$295K - $445K/yr

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 ...

Jobs for Humanity

Machine Learning Managers

San Jose, CA

$149K - $311K/yr

Tiktok Product Manager, Privacy-Preserving Machine Learning San Jose Regular Product Commercial product (ads) Job ID: A03013 Responsibilities TikTok is the leading destination for short-form mobile ...

OpenAI

Research Engineer, Privacy

San Francisco, CA · On-site

$380K - $445K/yr

Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale. * Measure and strengthen ...

Jobs for Humanity

Machine Learning Engineers

San Jose, CA · On-site

$194K - $355K/yr

Machine Learning Engineers Jobs for Humanity is collaborating with Upwardly Global and with Tiktok ... privacy-preserving technology for large language models (LLM) or foundation models, privacy ...

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Privacy Preserving Machine Learning information

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$99.5K

$115.5K

$129.5K

How much do privacy preserving machine learning jobs pay per year?

As of Jun 13, 2026, the average yearly pay for privacy preserving machine learning 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 Privacy Preserving Machine Learning roles?

Professionals in Privacy Preserving Machine Learning often encounter challenges such as balancing model accuracy with strict privacy requirements, selecting appropriate privacy-preserving techniques (like differential privacy or federated learning), and ensuring compliance with evolving data protection regulations. Collaborative projects may also involve coordinating with legal, data security, and software engineering teams to implement robust solutions. Additionally, staying updated with the latest research and adapting to new threats or vulnerabilities is a continuous part of the role.

What is the difference between Privacy Preserving Machine Learning vs Data Scientist?

AspectPrivacy Preserving Machine LearningData Scientist
Required CredentialsTypically requires knowledge of machine learning, data privacy, and security certificationsRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentWorks in research, development, and implementation of privacy-focused ML models, often in tech or finance sectorsAnalyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare
Employer & Industry UsageUsed by organizations prioritizing data privacy, such as healthcare, finance, and tech companiesEmployed across diverse sectors for data analysis, predictive modeling, and decision support

Privacy Preserving Machine Learning focuses on developing models that protect data privacy during training and inference, while Data Scientists analyze and interpret data to generate insights. Both roles require strong analytical skills, but Privacy Preserving Machine Learning emphasizes security and privacy techniques, whereas Data Scientists focus on data analysis and modeling.

What is privacy preserving machine learning?

Privacy preserving machine learning refers to techniques and methods that allow data analysis and model training while protecting sensitive information. This field focuses on ensuring that personal or confidential data is not exposed or compromised during the development and deployment of machine learning models. Approaches such as federated learning, differential privacy, and homomorphic encryption are commonly used. These methods enable organizations to leverage data for insights and predictions without violating privacy regulations or risking data breaches. Privacy preserving machine learning is especially important in industries like healthcare, finance, and any sector handling personal data.

What are the key skills and qualifications needed to thrive as a Privacy Preserving Machine Learning Engineer, and why are they important?

To thrive as a Privacy Preserving Machine Learning Engineer, you need a strong background in machine learning, data privacy techniques (such as differential privacy or federated learning), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow Privacy, PySyft, and privacy-enhancing technologies, along with certifications in data security or privacy, are often required. Strong problem-solving abilities, meticulous attention to detail, and the ability to communicate complex technical concepts clearly set top professionals apart. These skills ensure the development of robust machine learning models that protect sensitive data while delivering valuable insights, maintaining compliance and trust.
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Privacy Preserving Machine Learning jobs near you
AIML Privacy-Engineering Rotation

AIML Privacy-Engineering Rotation

Apple

Cupertino, CA • On-site

$124K - $159K/yr

Full-time

Posted 28 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

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