Senior Privacy Engineer - Generative AI & Privacy Technologies
Cupertino, California
Summary
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple delivers great features and great privacy to our users. The Privacy Engineering team works with teams all across the company to make sure that products and services protect user privacy by designing architectures that reduce the exposure of user data at all levels of the technology stack. We are looking for an outstanding candidate to become a member of the Apple User Privacy Team.
Key Qualifications
Passion for customer privacy
Strong collaboration, communication, interpersonal, and organizational skills
Ability to learn and research new technologies rapidly, assess privacy exposures, and suggest mitigations
Ability to analyze systems' architectures for privacy impact
Ability to solve complex problems independently
Experience with foundation models, including training and evaluation
Experience with differential privacy or private federated learning
Programming experience
Description
We are seeking an experienced engineer to provide privacy guidance to teams across Apple working on machine learning and generative AI infrastructure. This includes feature reviews and the design of new, privacy preserving data collection methodologies to enable the evaluation of AI systems. It also includes guiding the roadmap of privacy technologies at Apple like differential privacy and private federated learning.
In this role you will:
- Review features to identify privacy exposures and partner with teams to design mitigations. - Audit new products to identify bugs in development, and review customer data collected by engineering teams to drive decisions for privacy impact.
- Communicate privacy risks and potential mitigations to senior leadership to drive decisions.
- Guide the development of data collection systems that enable training and evaluation of generative AI systems while preserving privacy.
- Partner with cryptographers and technical experts in SWE and AIML to develop our roadmap for privacy technologies, and provide guidance to engineers and leaders on the right privacy technology to use when developing new features.
Successful candidates will need to have superb communication skills and a passion for protecting privacy. Creative problem solving, analytical, and deductive reasoning skills are critical for this position. You will be working on multiple unrelated systems each week, so the ability to learn quickly and an excitement for new things is a must.
Education & Experience
BSCS or equivalent experience
Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple delivers great features and great privacy to our users. The Privacy Engineering team works with teams all across the company to make sure that products and services protect user privacy by designing architectures that reduce the exposure of user data at all levels of the technology stack. We are looking for an outstanding candidate to become a member of the Apple User Privacy Team.
Key Qualifications
Passion for customer privacy
Strong collaboration, communication, interpersonal, and organizational skills
Ability to learn and research new technologies rapidly, assess privacy exposures, and suggest mitigations
Ability to analyze systems' architectures for privacy impact
Ability to solve complex problems independently
Experience with foundation models, including training and evaluation
Experience with differential privacy or private federated learning
Programming experience
Description
We are seeking an experienced engineer to provide privacy guidance to teams across Apple working on machine learning and generative AI infrastructure. This includes feature reviews and the design of new, privacy preserving data collection methodologies to enable the evaluation of AI systems. It also includes guiding the roadmap of privacy technologies at Apple like differential privacy and private federated learning.
In this role you will:
- Review features to identify privacy exposures and partner with teams to design mitigations. - Audit new products to identify bugs in development, and review customer data collected by engineering teams to drive decisions for privacy impact.
- Communicate privacy risks and potential mitigations to senior leadership to drive decisions.
- Guide the development of data collection systems that enable training and evaluation of generative AI systems while preserving privacy.
- Partner with cryptographers and technical experts in SWE and AIML to develop our roadmap for privacy technologies, and provide guidance to engineers and leaders on the right privacy technology to use when developing new features.
Successful candidates will need to have superb communication skills and a passion for protecting privacy. Creative problem solving, analytical, and deductive reasoning skills are critical for this position. You will be working on multiple unrelated systems each week, so the ability to learn quickly and an excitement for new things is a must.
Education & Experience
BSCS or equivalent experience
Created: 2024-06-05
Reference: 200549288
Country: United States
State: California
City: Cupertino
About Apple
Founded in: 1976
Number of Employees: 154000
Website: https://www.apple.com/
Career site: https://www.apple.com/careers/us/
Wikipedia: https://en.wikipedia.org/wiki/Apple_Inc.
Instagram: https://www.instagram.com/apple/
LinkedIn: https://www.linkedin.com/company/apple
Similar jobs:
-
Software Development Engineer in Test, Privacy
Meta in Menlo Park, California -
Offensive Privacy Engineer - USDS
TikTok in Mountain View, California -
Tech Lead Software Engineer - Data Privacy and Security
TikTok in San Jose, California -
AIML - Senior Software Engineer, Privacy - Machine Learning Platform and Technology
Apple in Santa Clara Valley (Cupertino), California -
Senior Backend Software Engineer-Privacy (Multiple Positions)
TikTok in San Jose, California -
Senior Software Engineer - Response & Recovery Platform, Privacy and Security
TikTok in San Jose, California -
Privacy QA Engineer
Apple in San Diego, California -
Tech Lead Software Engineer, Ads Measurement Signal and Privacy
TikTok in San Jose, California -
Senior Backend Software Engineer, TikTok Privacy AI
TikTok in San Jose, California -
Software Engineer III, Security/Privacy, Google Cloud Compute Infrastructure
Google in Sunnyvale, California -
AIML - Principal Staff Software Engineer, Privacy - Machine Learning Platform and Technology
Apple in Cupertino, California -
Privacy Engineer II, Marketing
Google in San Francisco, California💸 $114000 - $168000 per year -
Software Engineer III, Security/Privacy, Google Cloud Storage
Google in Sunnyvale, California -
Senior Software Engineer - Data Privacy
TikTok in San Jose, California -
Backend Software Engineer, TikTok Privacy - San Jose
TikTok in San Jose, California -
Android Software Engineer, TikTok Privacy
TikTok in San Jose, California -
Senior Backend Software Engineer, TikTok Privacy Infrastructure
TikTok in San Jose, California -
Fullstack Software Engineer - TikTok Privacy Compliance Platform
TikTok in San Jose, California -
Software Engineer III, Privacy Sandbox
Google in Mountain View, California -
Sr. QA Automation Engineer - Privacy Product (San Jose)
TikTok in San Jose, California