Machine Learning Enigneer

$175,800 - $264,200/Yr

Apple - Cupertino, CA

posted 9 days ago

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

About the position

The Machine Learning Engineer position at Apple involves leading the Online Retail Decision Automation team to develop advanced algorithms that enhance the Apple Online Store experience. This role focuses on creating scalable machine learning solutions for product search, recommendation systems, and personalization, while collaborating with cross-functional teams to implement these technologies effectively.

Responsibilities

  • Collaborate with other MLEs to build scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment.
  • Contribute to the ongoing improvement of our ML infrastructure and tooling.
  • Engage in continuous learning and development, staying up-to-date with the latest advances in machine learning and software engineering.

Requirements

  • 5+ years of related experience, including 2+ years experience in machine learning.
  • Proficiency in one or more object-oriented programming languages such as Python, Java, C++.
  • Experience building highly scalable distributed systems.
  • End-to-end hands-on experience with building data processing pipelines and large scale machine learning systems.
  • Understanding of machine learning model lifecycle from prototyping to continuous improvements.

Nice-to-haves

  • Ph.D. or Masters in a quantitative field, such as Computer Science, Applied Mathematics, or Statistics.
  • Experience in Recommender Systems, Personalization, Search, Computational Advertising or Natural Language Processing.
  • Skilled in communication, problem solving, critical thinking.
  • Experience using Deep Learning, Bandits, Probabilistic Graphical Models, or Reinforcement Learning in real applications.
  • Experience with Spark, TensorFlow, Keras, and PyTorch.

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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