Platform Engineer, Privacy Preserving ML
- Location
- Seattle, WA · On-site
- Job type
- Full-time
- Level
- Mid-level
- Education
- Bachelor's degree
- Listed
- 13 days ago
Skills & highlights for this role
- Backend development
- Deploying data-intensive systems
- Software development in Python, Swift, or C++
- Differential privacy, secure multi-party computation, private federated learning, or PII redaction frameworks
- Building systems to orchestrate, automate, and harden data processing pipelines
- Problem-solving
- Cross-team collaboration
Also useful
- Passion for customer privacy
- Statistical techniques for A/B testing, distribution estimation, and sampling theory
- Compliance, security protocols, and defense in depth
- Infrastructure as code
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.
About the role
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
- 0-2 years of industry experience with a Bachelor’s degree or equivalent experience in Computer Science or a related technical field.
- Experience with differential privacy, secure multi-party computation, private federated learning, or PII redaction frameworks.
- 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 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.
From Apple's careers page, first listed on Rolev.ai on October 27, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Platform Engineer, Privacy Preserving ML job at Apple located?
This Platform Engineer, Privacy Preserving ML position at Apple is located in Seattle, WA (On-site). Always check Apple's application page for specific state eligibility or relocation policies.
What qualifications are required for Platform Engineer, Privacy Preserving ML at Apple?
For the Platform Engineer, Privacy Preserving ML role, Apple highlights a bachelor's degree; experience with Backend development, Deploying data-intensive systems, Software development in Python, Swift, or C++, Differential privacy, secure multi-party computation, private federated learning, or PII redaction frameworks, Building systems to orchestrate, automate, and harden data processing pipelines, Problem-solving. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Platform Engineer, Privacy Preserving ML position at Apple?
This listing links directly to Apple's application page. You can apply directly on Apple's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.