Senior Cryptography Engineer, Privacy Preserving Machine Learning - SIML

Key Skills

Computational Algorithms, Cryptography, Data Privacy, Federated learning, Homomorphic encryption, Machine learning techniques

Job Description

The System Intelligent and Machine Learning Engineering group is looking for an exceptional cryptography engineer to help us build and deploy systems for privacy preserving machine learning building on strong cryptographic protocols. In this role, you’ll work at the forefront of cryptography and machine learning using techniques like homomorphic encryption, secure multi-party computation, federated learning, and differential privacy. You will be responsible for researching, designing, and prototyping provably-secure protocols to solve mission-critical problems. These solutions will be deployed to billion devices at scale. This position requires expertise in at least one of homomorphic encryption, secure multi-party computation, federated learning, or differential privacy. 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

• Expertise within Cryptography, Computer Science, Applied Mathematics, or similar
• Experience designing efficient secure protocols
• Ability to communicate complex ideas at a variety of abstractions

Description

The successful candidate will be researching, designing, and prototyping cryptographic protocols in security critical missions deployed to billion devices at scale. Prototyping high-quality code is a must. You will design cryptographic solutions, while ensuring feasibility and scalability. This will require making tradeoffs between memory, power, and latency. You will have significant experience in designing scalable cryptographic protocols for real-world problems, and also be responsible for proving security of the protocols. 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

Masters or PhD in Computer Science, Cryptography, Applied Mathematics, or similar experience. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $161,000 and $242,000, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.