Machine Learning Engineer

$143,100 - $214,500/Yr

Apple - Monte Vista, CA

posted about 1 month ago

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

About the position

As a Machine Learning Engineer at Apple, you will be at the forefront of developing innovative video technology that enhances user experiences across Apple products. This role involves researching and implementing machine learning algorithms, optimizing their performance for on-device deployment, and collaborating with cross-functional teams to meet quality and computational requirements. Your work will significantly impact the video experience for billions of users, making it a highly meaningful and technically challenging position.

Responsibilities

  • Develop ML-based video approaches for current and future Apple products.
  • Optimize performance of ML models for on-device deployment.
  • Conduct ML research to investigate novel model architectures for optimal tradeoffs between accuracy and efficiency.
  • Collaborate with team members to enhance model efficiency and deploy on specific hardware architectures.
  • Work with cross-functional teams to meet quality and computational requirements for technology shipping.
  • Communicate technology demonstrations, present to leadership, and discuss progress with colleagues.

Requirements

  • Experience in machine learning and deep learning principles, model prototyping, and architecture design.
  • Strong familiarity with the latest ML and computer vision innovations.
  • Proven track record in deep learning with publications in top ML/CV venues.
  • Experience in performance optimization focusing on speed, power, and memory footprint.
  • Excellent software skills in Python, PyTorch, TensorFlow, and C/C++; experience with CUDA is a plus.
  • Strong analytical and problem-solving skills.

Nice-to-haves

  • Experience with generative modeling, optical flow, or perceptual quality.
  • ML experience in video or data compression.
  • Experience in designing practical ML implementations in an industry setting.

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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