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Machine Learning Engineer

2 months ago

Seattle, Washington, United States Apple Inc. Full time
Job Summary

We are seeking a highly skilled Machine Learning Engineer to join our team at Apple Inc. as a key member of the Machine Intelligence Neural Design (MIND) team.

Key Responsibilities
  • Develop and deploy machine learning features and models that enhance the capabilities of Apple's systems.
  • Scale up model training, build data pipelines, and optimize system performance and user experience.
  • Review and implement pioneering machine learning algorithms and techniques.
  • Collaborate with a multi-disciplinary team to ship end-to-end features that utilize machine learning.
Requirements
  • Proficient in Python and deep learning frameworks like PyTorch.
  • Experience with training ML models, including deep learning-based models.
  • Able to define metrics, evaluate ML models, and perform error analysis.
  • Familiar with recent advances in deep learning.
  • Bachelor's, Master's, or PhD in Computer Science or a related field.
Preferred Qualifications
  • Proficient in Swift or similar statically typed language.
  • Experience with modeling problems in areas like object detection, facial recognition, multi-modal, and/or temporal machine learning.
  • Experience with building efficient ML models through HW/SW co-design.
  • Experience crafting and defining datasets and metrics for novel tasks.
  • Experience shipping ML features and products.
What We Offer
  • Competitive base pay and opportunities for growth and development.
  • Comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and services.
  • Eligibility for discretionary bonuses or commission payments, relocation assistance, and reimbursement for certain educational expenses.
  • Opportunities to become an Apple shareholder through participation in Apple's discretionary employee stock programs.
Apple's Commitment to Diversity and Inclusion

Apple is an equal opportunity employer 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.