> Markdown version of [/jobs/ext/1703059-privacy-software-engineer-sensing-and-intelligence](https://www.wearedevelopers.com/jobs/ext/1703059-privacy-software-engineer-sensing-and-intelligence). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Privacy Software Engineer, Sensing and Intelligence - **Company:** Apple Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Computer Programming, Customer Data Management, Machine Learning, Information Technology, Artificial Intelligence Markup Language (AIML) - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/bef9a477-4ae8-478e-888e-f487d74f75a1 ## About the Role 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., BS in Computer Science or equivalent experience Experience with foundation models, including training and evaluation Experience with differential privacy or private federated learning Programming experience Preferred Qualifications Passion for customer privacy Demonstrated interdisciplinary interest in the intersection of technology, policy, and society Strong collaboration, communication, interpersonal, and organizational skills Ability to learn and research new technologies rapidly, assess privacy exposures, and suggest mitigations Ability to analyze system architectures for privacy impact Ability to solve complex problems independently ## Description We are seeking an experienced engineer to provide privacy guidance to teams across Apple working on machine learning and generative Al intrastructure. This includes feature reviews and the design of new, privacy preserving data collection methodologies to enable the evaluation of Al 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 Al 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. ## Related Videos - [Data Privacy in LLMs: Challenges and Best Practices](https://www.wearedevelopers.com/videos/1218-data-privacy-in-llms-challenges-and-best-practices) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [It's not easy being green](https://www.wearedevelopers.com/videos/558-it-s-not-easy-being-green) - [Harnessing Apple Intelligence: Live Coding with Swift for iOS](https://www.wearedevelopers.com/videos/1515-harnessing-apple-intelligence-live-coding-with-swift-for-ios) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 154: Responsible AI? Mistakes of CSS & track all the things!](https://www.wearedevelopers.com/magazine/548-dev-digest-154-responsible-ai-mistakes-of-css-track-all-the-things) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing) - [Dev Digest 119 - ❤️ === ❤️](https://www.wearedevelopers.com/magazine/454-dev-digest-119) - [Dev Digest 118 - not a total recall](https://www.wearedevelopers.com/magazine/452-dev-digest-118-not-a-total-recall) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)