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Machine Learning Engineer

2 months ago


Sunnyvale, California, United States Apple, Inc. Full time
About the Role

We are seeking a highly skilled Machine Learning Scientist/Engineer to join our Applied Machine Learning (AML) Data Science team at Apple, Inc. This is an exciting opportunity to work on building groundbreaking Machine Learning technologies and make a real-world impact.

Key Responsibilities
  • Develop pioneering machine learning algorithms to enable current and future products and services in various enterprise scenarios.
  • Work on solving real-world business problems through machine learning and computer vision.
  • Collaborate with business teams to articulate research methodologies and results.
  • Partner with engineering teams to integrate and deploy ML models to deliver amazing user experiences.
Requirements
  • 7+ years of industry experience with a Bachelor's degree in Computer Science, Engineering, or a similar field.
  • Experience in one or more of the following ML areas: Computer Vision, NLP, GenAI, AR/VR, Document Intelligence, or similar areas.
  • Hands-on experience in algorithm design, modeling, or quantitative analysis.
  • Hands-on experience in implementing end-to-end machine learning projects.
  • Experience with deep learning frameworks such as PyTorch, TensorFlow, and Keras.
  • Experience with optimization, approximation algorithms, deep learning, and hands-on implementation of these techniques.
Preferred Qualifications
  • An Advanced Degree, Ph.D. with 1+ year or Master's with 3+ years of experience in Computer Science, Engineering, or a similar quantitative field with a focus on machine learning.
  • Python is preferred.
What We Offer
  • Competitive base pay range: $143,100 - $264,200.
  • Opportunity to become an Apple shareholder through discretionary employee stock programs.
  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • Range of discounted products and free services.
  • Reimbursement for certain educational expenses.
  • Discretionary bonuses or commission payments.
  • Relocation assistance.