Job Overview:
The Answers, Knowledge, and Intelligence team at Apple is looking for a software engineer to build and maintain core infrastructure for on-device search technologies across Apple’s ecosystem. This role involves collaborating with teams in machine learning, natural language processing, and platform infrastructure to deliver private, fast, and intelligent user experiences, directly impacting how users interact with information on devices like iPhone, iPad, and Mac. Key responsibilities include designing robust infrastructure for on-device search systems, building durable and reusable components, optimizing ML/NLP technologies for Apple’s software stack, and ensuring user privacy through secure, on-device architecture. The ideal candidate will have experience in Swift, Objective-C, or C++, CI/CD pipelines, scripting, and automation, with a passion for infrastructure and cross-functional collaboration at scale.
>> View full job details on Apple’s official website.
Resume and Interview Tips:
When tailoring your resume for the AIML – Software Engineer position at Apple, focus on highlighting your experience with Swift, Objective-C, or C++, as these are critical for the role. Emphasize any projects where you designed or maintained CI/CD pipelines, as this demonstrates your ability to handle scalable infrastructure. Your scripting skills in Python or Bash should be prominently featured, along with examples of how you’ve automated workflows or deployment tasks. If you have experience with Apple platforms, profiling tools, or performance optimization, make sure to include these as well, as they are preferred qualifications. Quantify your achievements where possible, such as improvements in system performance or efficiency gains from automation. Showcasing your ability to work on privacy-preserving infrastructure or on-device ML will set you apart, as these align closely with Apple’s values and the team’s focus.
During the interview, expect questions that probe your technical expertise in Swift, Objective-C, or C++, as well as your experience with CI/CD pipelines and scripting. Be prepared to discuss specific projects where you’ve designed or maintained infrastructure, and how you approached challenges related to scalability and privacy. The interviewer will likely be interested in your problem-solving process, so practice articulating how you analyze and debug large-scale systems. If you have experience with Apple platforms or performance optimization, be ready to share concrete examples of your work. Given the collaborative nature of the role, you may also be asked about your experience working cross-functionally with teams in ML, NLP, or platform infrastructure. Demonstrating your passion for infrastructure and your ability to work at scale will be key. Finally, align your responses with Apple’s emphasis on privacy and intelligent user experiences, as these are central to the team’s mission.