AIML - ML Research Engineer, MIND

$135,400 - $250,600/Yr

Apple - Seattle, WA

posted 3 months ago

Full-time - Mid Level
Seattle, WA
Computer and Electronic Product Manufacturing

About the position

The Machine Intelligence, Neural Design (MIND) team at Apple is at the forefront of innovation, focusing on hardware and software co-design to enhance efficient inference in machine learning (ML) systems. We are seeking a highly motivated Research Engineer who possesses a robust background in ML systems and hands-on experience in software development. The primary mission of this role is to advance the state-of-the-art in ML optimization techniques that are crucial for efficient on-device ML applications. The ideal candidate will be a blend of researcher and engineer, someone who is not only capable of pushing the boundaries of existing technologies but also has the creativity to think outside the box. This position requires a detail-oriented individual who can translate innovative ideas into practical applications that will benefit both Apple partners and the broader research community. In this role, you will be responsible for researching and developing new ML optimization methods that enhance the efficiency of on-device machine learning. You will be tasked with materializing these concepts and demonstrating their practical value in an industrial setting. Collaboration with hardware and software teams will be essential to productize the outcomes of your work, ensuring that the innovations are effectively integrated into Apple's ecosystem. Your contributions will play a significant role in shaping the future of machine learning at Apple, making this an exciting opportunity for those passionate about technology and innovation.

Responsibilities

  • Research and develop ML optimization methods for efficient on-device ML.
  • Materialize ideas and concepts to demonstrate practical value in an industrial environment.
  • Collaborate with hardware and software teams to productize the outcomes of the work.

Requirements

  • Strong background in machine learning systems.
  • Hands-on experience in software development.
  • Ability to think creatively and push existing boundaries in ML optimization.

Nice-to-haves

  • Experience with hardware/software co-design.
  • Familiarity with Apple’s ecosystem and products.

Benefits

  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • Discounted products and free services.
  • Reimbursement for certain educational expenses, including tuition.
  • Eligibility for discretionary bonuses or commission payments.
  • Relocation assistance.
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