Machine Learning Engineer, Generative AI
3 days ago
Machine Learning Engineer, Generative AI & Privacy Technologies (Privacy-Preserving) – SIML, ISE
Cupertino, California, United States
Machine Learning and AI
Do you think Computer Vision and Machine Learning can change the world? Do you think it can transform the way millions of people collect, discover and share the most special moments of their lives? We truly believe it can. The System Intelligent and Machine Learning Engineering group is looking for an experienced machine learning engineer to help us build and deploy systems for privacy-preserving machine learning building on strong cryptographic protocols. The ideal candidate will have proven experience working at the forefront of privacy-preserving machine learning with knowledge and experience in Retrieval Augmented Generation, Knowledge Graphs, Search and Retrieval in conjunction with privacy technologies like homomorphic encryption, differential privacy, secure multi-party computation, and federated learning. You will be responsible for researching, designing, and implementing provably-secure protocols to tackle mission-critical problems.
Description
The successful candidate will be researching, designing, and implementing privacy-preserving Generative AI technologies for security-critical missions deployed to billions of devices at scale. You will design AI solutions built with privacy-preserving technologies while ensuring feasibility and scalability. This will require making trade-offs between memory, power, and latency. You will have significant experience in designing scalable systems for real-world problems. 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 trade-offs and can clearly communicate these trade-offs to our partners. You should be comfortable working with partner teams in a broadly collaborative and fast-paced environment.
Minimum Qualifications
- PhD or Master's degree in Computer Science, Machine Learning, Applied Mathematics, or similar; or equivalent practical experience.
- Experience in Retrieval Augmented Generation, Knowledge Graphs, Search and Retrieval with an understanding of privacy-preserving technologies such as homomorphic encryption, differential privacy, secure multi-party computation, and federated learning.
- 5+ years of proven experience within AI & Machine Learning systems.
Key Qualifications
Preferred Qualifications
- Ability to distill product experiences into concrete problem definitions.
- Experience designing efficient secure protocols.
- Ability to communicate complex ideas at a variety of abstractions.
Education & Experience
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 $175,800 and $264,200, 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 reimbursement for certain educational expenses related to advancing your career at Apple. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
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.
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