Sr Privacy-Preserving Machine Learning Engineer, Generative AI & Privacy Technologies - SIML, ISE
Apply NowCompany: Apple
Location: Cupertino, CA 95014
Description:
Summary
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.
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.