Platform Engineer, Privacy Preserving ML

Apple • Cupertino, CA

23d

About The Position

Apple’s Privacy Preserving Machine Learning team works across the company to provide tools and support for state-of-the-art privacy-preserving measurement and machine learning. The team is seeking an experienced platform learning engineer to help build privacy-preserving technologies and scale them across Apple products. The role calls for a strong technical background and interest or experience in backend development and deploying data-intensive systems. Strong interpersonal skills, the ability to influence and build consensus, and adaptability across technologies and new problems are important.

Requirements

• 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.
• Hands-on software development experience and proficiency in one or more programming languages such as Python, Swift, or C++.
• Experience building systems to orchestrate, automate, and harden data-processing pipelines.
• Strong problem-solving skills, creativity in finding effective solutions, and ability to collaborate across teams.
• Strong technical background and interest or experience in backend development and deploying data-intensive systems.
• Strong interpersonal skills, ability to influence and build consensus, and adaptability to new problems and systems.

Nice To Haves

• 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.

Responsibilities

• Build privacy-preserving technologies for measurement and machine learning.
• Help scale privacy-preserving tools and systems across Apple products.
• Architect, deploy, and scale data-intensive systems.
• Build systems to orchestrate, automate, and harden data-processing pipelines.
• Collaborate with teams across the company and help influence and build consensus.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level