Apple

Apple

Posted via Apple Careers

Senior Platform Engineer, Privacy Preserving ML

Always Hiring

Posted Aug 4, 2026

Role at a glance

Salary
$175K – $308.5K/yr
Location
Seattle, Washington, United States
Work arrangement
On-site
Employment
Full-time
Experience
2+ years of industry experience with a Bachelor’s degree or equivalent experience in Computer Science or a related technical field.
Education
Bachelor’s degree or equivalent experience in Computer Science or a related technical field.

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Role Summary

AI-generated

The Privacy Preserving Machine Learning team builds tools and support for privacy-preserving measurement and machine learning across Apple products. This platform learning engineer role focuses on backend development, data-intensive systems, and technologies that support measurement and machine learning while preserving user privacy.

What You'll Do

  • Design, develop, and deploy end-to-end measurement systems with high utility and strong privacy protections
  • Build and maintain infrastructure as code and automation systems
  • Solve complex problems at the intersection of privacy-preserving measurement and machine learning
  • Contribute to data collection, training, and evaluation for generative AI and machine learning systems
  • Collaborate with engineers and teams across Apple to scale products

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Bachelor’s degree or equivalent experience in Computer Science or a related technical field; 2+ years of industry experience; experience architecting, deploying, and scaling data-intensive systems; proficiency in Python, Swift, or C++; experience orchestrating, automating, and hardening data processing pipelines; strong problem-solving and collaboration skills.

Required

  • Bachelor’s degree or equivalent experience in Computer Science or a related technical field
  • 2+ years of industry experience
  • Experience architecting, deploying, and scaling data-intensive systems
  • Strong hands-on experience in software development
  • Proficiency in one or more programming languages such as Python, Swift, and C++
  • Experience building systems to orchestrate, automate, and harden data processing pipelines
  • Strong problem-solving skills
  • Ability to collaborate with teams across the company

Preferred

  • Passion for customer privacy
  • Experience with differential privacy, secure multi-party computation, private federated learning, or PII redaction frameworks
  • Experience with DevOps/GitOps, CI/CD, and containerized deployment frameworks like Kubernetes
  • Experience with statistical techniques for A/B testing, distribution estimation, and sampling theory
  • Experience with compliance, security protocols, and defense in depth to reduce vulnerabilities
  • 5+ years of industry experience
  • Master's degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field

Original job description

Content provided by the employer

Summary

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 great privacy to our users. 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, and are looking for an outstanding candidate to help us scale across Apple products.

Description

We are seeking an experienced platform learning engineer and to join our team building privacy-preserving technologies for measurement and machine learning.

Successful candidates will need to have a strong technical background and interest or experience with backend development and deploying data-intensive systems. Strong interpersonal skills and the ability to influence and build consensus are crucial to success in this role. You will be working across a range of technologies, so adaptability to new problems and systems is a core skill.

Responsibilities

Collaborate with other engineers to design, develop, and deploy end to end measurement systems with high utility that meet Apple’s industry-leading privacy bar.
Support, build, and maintain infrastructure as code and automation systems to accelerate the team’s product development and enable scaling our products to teams all across Apple.
Operate independently to solve complex problems at the intersection of privacy-preserving measurement and machine learning.
Contribute to the development of data collection, training, and evaluation of
generative AI and Machine Learning systems while preserving user privacy.

Minimum Qualifications

2+ years of industry experience with a Bachelor’s degree or equivalent experience in Computer Science or a related technical field.
Experience architecting, deploying, and scaling data intensive systems.
Strong hands-on experience in SW development, with proficiency in one or more programming languages such as Python, Swift, and C++.
Experience building systems to orchestrate, automate, and harden data processing pipelines.
Strong problem-solving skills, creativity in finding effective solutions, and the ability to collaborate with teams across the company.

Preferred Qualifications

Passion for customer privacy.
Experience with differential privacy, secure multi-party computation, private federated learning, or PII redaction frameworks.
Experience with DevOps/GitOps, CI/CD, and containerized deployment frameworks like Kubernetes.
Experience with statistical techniques for A/B testing, distribution estimation, and sampling theory.
Experience with compliance, security protocols, and defense in depth to reduce vulnerabilities.
5+ years of industry experience.
Master's degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field.

Pay & Benefits — Seattle, Washington, United States

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,000 and $308,500, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

Apple

About the company

Apple

Large Enterprise

Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.