Senior Machine Learning Engineer - Frontier AI Technologies

Cupertino, California, United States
Software and Services


Weekly Hours: 40
Role Number:200550593
We’re looking for industry-leading machine learning technologists to help shape the future of AI-driven system experiences across the Apple ecosystem. You’ll be joining a small, dynamic team that will develop novel ML techniques and applications, build tools and infrastructure, rapidly iterate on prototypes, and deliver new product experiences. This is an exciting time to join and have impact across Apple’s entire product portfolio. You will be working alongside highly accomplished and deeply technical scientists and engineers to advance the state of the art in AI-driven products. If you’re a leader in the field of machine learning, we’d love to talk to you.


Our team is seeking extraordinary machine learning engineers who are passionate about creating machine learning driven user experiences. Work includes designing high-performance machine learning models and infrastructure in concert with designers, software/hardware engineers, and applied R&D teams.

Minimum Qualifications

Key Qualifications

  • Strong understanding in ML, deep learning, natural language understanding, distributed systems, reliability, and cloud services.
  • Strong hands-on experience in building large scale ML based solutions or in building and scaling distributed systems.
  • Ability to efficiently develop, debug and support new technologies in a changing environment.
  • Positive and respectful attitude in a diverse environment.

Preferred Qualifications

  • 2+ years industry experience as a Machine Learning Engineer or Software Engineer, working on advancing the state of the art of machine learning, and deploying large-scale distributed systems.

Education & Experience

Additional Requirements

Pay & Benefits

  • Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.