Senior Platform Engineer, Privacy Preserving ML
Apple - Seattle, United States of America
Posted Apr 16, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Platform Engineer, Privacy Preserving ML Seattle, United States of America 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. 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. 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
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