Machine Learning Engineer

2 Hours ago • All levels • $175,800 PA - $264,200 PA

Job Summary

Job Description

As a Machine Learning Engineer at Apple, you will be responsible for designing and developing efficient networks for computer vision tasks like multi-object tracking and scene understanding. You will implement tensor operations and deep neural network training algorithms, utilizing Python and C++ for optimization on Apple devices. Your tasks will include preparing presentations and research papers, working with frameworks like Tensorflow and PyTorch, and using libraries such as Numpy and OpenCV. You will also build automated pipelines for algorithm training and testing. This role involves conducting research on deep learning approaches to improve training and user experience, and implementing new machine learning algorithms in customer-facing software tools on Apple hardware.
Must have:
  • Design and develop computer vision networks
  • Implement tensor operations and deep learning algorithms
  • Utilize Python and C++ programming languages
  • Use deep learning frameworks (Tensorflow, PyTorch, Keras)
  • Work with machine learning and computer vision libraries
Perks:
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Tuition reimbursement for education

Job Details

APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Design and develop efficient networks for computer vision problems such as multi-object tracking, scene understanding, and activity recognition algorithm. Implement efficient tensor operations and deep neural networks training algorithms. Utilize Python and C++ programming languages to implement and optimize computer vision algorithms for Apple devices. Prepare presentations, papers, and talks to explain the inventions. Use deep learning frameworks such as Tensorflow, PyTorch, or Keras. Use machine learning and computer vision libraries such as Numpy, Matplotlib, OpenCV, and Pandas. Implement quality assurance and testing programs for machine learning and computer vision algorithms. Build automated pipelines for training and testing machine learning and computer vision algorithms. Design and implement data collection and annotation pipelines and lead the acquisition process in collaboration with cross-functional quality assurance engineers. Conduct research on novel few-shot and zero-shot deep learning approaches in order to improve the training time and user experience of custom machine learning trainings on Apple hardware. Implement and optimize new machine learning training algorithms in customer facing software tools on Apple hardware. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 - $264,200/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & BENEFITS: Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits: https://www.apple.com/careers/us/benefits.html. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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