Senior ML Platform Engineer for Privacy-Preserving Evaluation

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 185,000 - 325,000; Full time

Job summary

Apple Inc. in Cupertino, CA is seeking a Senior machine learning platform engineer in Evaluation & Privacy.

You will design, build, and operate a platform enabling privacy-preserving ML training and evaluation across millions of devices, collaborating with engineers and scientists across Apple. You’ll scale distributed training infrastructure, partner with applied scientists to move ideas from research to production, and help product teams meet Apple’s industry-leading privacy standards while

Qualifications

• 2+ years of industry experience with a Bachelor''s degree or equivalent in Computer Science or related field.
• Proficiency in Python and Swift.
• Experience building software that runs in the background or on a schedule on largely autonomous systems like iPhone.
• Experience designing and operating distributed systems at scale.
• Strong problem-solving skills and ability to collaborate across teams.

Responsibilities

• Design, build, and operate the platform that supports privacy-preserving ML training and evaluation, including private federated learning systems at scale.
• Scale distributed training and evaluation infrastructure to support a growing portfolio of teams and products across Apple.
• Partner with applied scientists to take privacy-preserving algorithms from research to production-grade systems.
• Collaborate with product teams across Apple who depend on the platform and meet Apple''s privacy bar.
• Adaptability to new problems and systems across device runtimes and large-scale backends.

Skills

Python

Swift

Distributed systems

Problem solving

Education

Bachelor''s degree in Computer Science or related field

Master''s degree or PhD in CS/SE or related field

Job description

Apple Inc. in Cupertino, CA is seeking a Senior machine learning platform engineer in Evaluation & Privacy.

You will design, build, and operate a platform enabling privacy-preserving ML training and evaluation across millions of devices, collaborating with engineers and scientists across Apple. You’ll scale distributed training infrastructure, partner with applied scientists to move ideas from research to production, and help product teams meet Apple’s industry-leading privacy standards while