AIML - Staff Machine Learning Engineer **Cary, North Carolina, United States** **Machine Learning and AI** **Summary** Posted: **Aug 22, 2025** Role Number: **200617298-1435** Would you like to play a part in the next revolution in human-computer interaction? Come build the future with the Apple Knowledge & Information team. Help lead the creation of a truly personalized user experience, one that adapts to the unique needs and habits of each individual. **Description** The Apple Knowledge & Information (AKI) Entity Resolution team is looking for senior and staff engineers to lead software projects suffusing knowledge of the user throughout Apple’s products. Building this system requires deep expertise in a myriad of cutting edge fields: search, natural language understanding, data engineering, machine learning, privacy preserving system design, and more. You will be a hands on, technical leader as your team partners with a variety of subject matter experts to design, build, and integrate their components into a seamless platform for creating personalized Siri experiences that surprise and delight. **Responsibilities** + Engage with leaders and cross-functional partners to define requirements + Partner with application developers to build personalized features users love + Build entity resolution APIs that Siri application developers love + Lead highly cross-functional software projects + Mentor junior software engineers + Partner with application owners on API design, implementation, and integration + Validate new platform features by leading early adoption **Minimum Qualifications** + 8 years of professional software experience + BS in computer science or related fields + Experience leading software engineering teams and / or projects + Experience designing and shipping novel systems architectures + Passion for great products + Exceptional software engineering skills + Ability to identify similar software solutions and generalize them into libraries / frameworks / platforms + Ability to work in a highly collaborative environment + Ability and desire to lead a small teams of high impact engineers **Preferred Qualifications** + 5+ years professional experience developing for Apple’s platforms + Experience building voice computing systems or subsystems (e.g. ASR, NL, TTS, Voice Assistants, etc) + Swift or Objective-C experience preferred (Rust, C++, or similar also acceptable) + Experience building machine learning based systems + Mobile and / or embedded development experience Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) . Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation. Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.