Sr Privacy-Preserving Machine Learning Engineer, Generative AI & Privacy Technologies - SIML, ISE
- Employer
- Apple Inc.
- Location
- Cupertino, California
- Salary
- Commensurate
- Posted
- Dec 08, 2024
- Closes
- Dec 11, 2024
- Ref
- 2863598711
- Role Type
- Engineer
- Career Level
- Experienced Career
- Work Mode
- Onsite
- Contract Type
- Full Time
- Organization Type
- Other
Sr Privacy-Preserving Machine Learning Engineer, Generative AI & Privacy Technologies - SIML, ISE
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 exceptional machine learning engineer to help us build and deploy systems for privacy preserving machine learning building on strong cryptographic protocols. The ideal candidate will work at the forefront of privacy-preserving machine learning with expertise 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. They 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 billion devices at scale. You will design AI solutions built with privacy-preserving technologies, while ensuring feasibility and scalability. This will require making tradeoffs 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 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.
Minimum Qualifications
Preferred Qualifications
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. Learn more about your EEO rights as an applicant.
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 exceptional machine learning engineer to help us build and deploy systems for privacy preserving machine learning building on strong cryptographic protocols. The ideal candidate will work at the forefront of privacy-preserving machine learning with expertise 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. They 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 billion devices at scale. You will design AI solutions built with privacy-preserving technologies, while ensuring feasibility and scalability. This will require making tradeoffs 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 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.
Minimum Qualifications
- PhD or Master degree in Computer Science, Machine Learning, Applied Mathematics, or similar; or equivalent practical experience.
- 5+ years of expertise within AI & Machine Learning systems
- Strong expertise in Retrieval Augmented Generation, Knowledge Graphs, Search and Retrieval with an understanding of privacy-preserving technologies like homomorphic encryption, differential privacy, secure multi-party computation and federated learning.
Preferred Qualifications
- Ability to distill product experiences into concrete problem definitions.
- Ability to communicate complex ideas at a variety of abstractions.
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. Learn more about your EEO rights as an applicant.