Senior Cryptography Engineer - SIML, ISE

Summary

The System Intelligent and Machine Learning Engineering group is looking for an exceptional Cryptography Engineer to help us build and deploy systems for privacy enhancing technologies for machine learning workflows. In this role, you will work at the forefront of cryptography and machine learning using techniques like homomorphic encryption. You will be responsible for building and implementing cryptographic systems with provably-secure protocols to tackle mission-critical problems. These solutions will be deployed to a billion devices at scale.

This position requires expertise cryptography with specialized areas like homomorphic encryption, or secure multi-party computation. You should have experience designing efficient protocols, and be able to reason about their security and their application and use in larger frameworks.

Key Qualifications

5+ years of expertise within Cryptography, Computer Science, Applied Mathematics, or similar

Expertise in at least one: homomorphic encryption, secure multi-party computation

Ability to distill product experiences into concrete problem definitions.

Experience designing efficient secure protocols

Ability to communicate complex ideas at a variety of abstractions

Description

The successful candidate will be building and implementing cryptographic systems based on provably secure protocols in critical missions deployed to billion devices at scale. You will design cryptographic solutions, while ensuring feasibility and scalability. This will require making tradeoffs between memory, power, and latency.

You will bring the needed depth not only at the design level, but also demonstrate a high level of understanding of the security guarantees of the underlying system in the context of the larger vision for Apple. You are able to make the right tradeoffs, and can clearly communicate these tradeoffs to our partners. You should be comfortable working with partner teams in a broadly collaborative and fast-paced environment.

Education & Experience

Pursuing a PhD in Computer Science, Cryptography, Applied Mathematics, or similar; or equivalent experience.