Apple - Cupertino, CA

posted 2 months ago

Full-time - Mid Level
Cupertino, CA
Computer and Electronic Product Manufacturing

About the position

The Machine Learning Engineer role at Apple involves leading the development and evaluation of innovative user-facing conversational features using state-of-the-art foundation models. This position requires collaboration with cross-functional teams to design and implement machine learning algorithms that enhance user interaction and experience.

Responsibilities

  • Design and implement machine learning algorithms for user-facing interactive conversational features.
  • Leverage multi-modal foundation models for rapid prototyping and iteration.
  • Develop evaluation strategies to translate product requirements into objective metrics.
  • Oversee data collection and evaluation efforts to ensure rapid and measurable progress.
  • Collaborate with hardware engineering, software engineering, and design teams to develop prototypes and evolve them into production systems.

Requirements

  • Master's degree in Computer Science or other STEM majors.
  • Experience with the use and evaluation of foundation models.
  • Proficiency in Python and ML frameworks (Pytorch or Tensorflow).
  • 2+ years of hands-on industry experience building and evaluating Machine Learning or Natural Language Processing systems.

Nice-to-haves

  • PhD in Computer Science, Machine Learning or a related technical field.
  • 4+ years of hands-on industry experience with Machine Learning systems.
  • Proficiency in training and evaluation of foundation models and frameworks.
  • A track record of publications or technical presentations in Machine Learning journals or conferences.
  • Excellent communication and cross-functional collaboration skills.

Benefits

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