14 days ago
Responsibilities
- Build privacy-preserving technologies for measurement and machine learning across Apple products.
- Architect, deploy, and scale data-intensive systems.
- Develop systems to orchestrate, automate, and harden data-processing pipelines.
- Write software using languages such as Python, Swift, and C++.
- Collaborate across teams, influence stakeholders, and build consensus on technical solutions.
Requirements
- Bachelor’s degree or equivalent experience in Computer Science or a related technical field.
- 0–2 years of industry experience.
- 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 software development experience and 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, creativity, adaptability, and collaboration skills.
- Preferred: experience with statistical techniques for A/B testing, distribution estimation, and sampling theory.
- Preferred: experience with compliance, security protocols, and defense in depth to reduce vulnerabilities.
- Preferred: 5+ years of industry experience and a Master’s degree or PhD or equivalent experience in Computer Science, Software Engineering, or a related technical field.
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.