Apple
AIML Privacy - Engineering Rotation
$123K–$225K
Cupertino, California +1 · Full-time · Posted Apr 17, 2026
- Location
- Cupertino, California
Seattle, Washington - Experience
- No specific number of years stated; requires experience with differential privacy or private federated learning.
- Education
- BS in Computer Science, EE or equivalent experience.
About the job
Rotates between privacy engineering and software engineering teams to build privacy-preserving measurement and machine-learning systems and advise on privacy risks and decisions.
What you'll do
- Design, develop, and deploy end-to-end measurement systems that meet Apple’s privacy standards.
- Communicate system-design tradeoffs, privacy risks, and mitigations to senior leadership.
- Build collaboration and consensus across teams.
What they ask for
- Passion for customer privacy and strong collaboration, communication, interpersonal, and organizational skills.
- Strong software engineering skills and ability to solve complex problems independently.
- Experience with differential privacy or private federated learning.
- BS in Computer Science, EE or equivalent experience.
Nice to have
- Real-world experience implementing privacy, trust, or security measures shipped in a consumer product or service.
- Participation in public standards forums or academic publications in privacy and machine learning.
Pay
$129,300 and $225,300 USD (base salary); $122,700 and $214,300 USD (base salary)
Tools
differential privacy, private federated learning
AI focus
Build privacy-preserving machine-learning technologies and measurement systems.
Model-written summary · the original posting is authoritative