Machine Learning Video Processing Engineer

Apple

Cupertino (CA)

In loco

USD 150.000 - 278.000

Tempo pieno

37 ore fa
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Descrizione del lavoro

Apple, Inc. in Cupertino, CA, is seeking a Machine Learning Video Processing Engineer to develop next-gen ML-based video processing algorithms powering Apple products.

You will work with a dynamic team of engineers to design and implement image and video processing technologies with impact across products. The role emphasizes collaboration, data curation, and evaluating state-of-the-art learning methods for low-level vision tasks.

Competenze

  • BS and at least 3 years of industry experience.
  • Hands-on experience with image/video processing, ML and computer vision.
  • Programming skills in Python, Java, or C/C++.

Mansioni

  • Develop, implement, and optimize ML-based video processing algorithms.
  • Collaborate with Apple engineers to train and evaluate algorithms.
  • Research and evaluate state-of-the-art learning methods for low-level vision tasks.

Conoscenze

Image/video processing
Machine learning
Computer vision
Python/Java/C++

Formazione

BS degree in Computer Science/Engineering
PhD in ML/CS/EE/CE

Descrizione del lavoro

Machine Learning Video Processing Engineer

Cupertino, California, United States Hardware

Imagine the impact of your work - technologies you help create will be experienced by over a billion people every day. At Apple, you’ll have the opportunity to contribute to products that consistently set industry standards and, at times, redefine the world. Our team is responsible for developing the core image and video technologies used in nearly all Apple products and services. We are seeking a motivated and adaptable Machine Learning Video Processing Engineer who thrives in technically challenging environments and is eager to push the boundaries of innovation.

Description

We are seeking a Machine Learning Engineer to help develop Apple’s next-generation video processing algorithms. In this role, you will collaborate closely with a dynamic team of Apple engineers to design and implement machine learning–based image and video processing technologies that power both current and future Apple products.

Responsibilities include, but not limited to:

  • Develop, implement, and optimize machine learning based video processing algorithms
  • Contribute to data collection, curation, analysis and processing for algorithm training and evaluation
  • Research and evaluate state-of-the-art learning-based methods for low-level vision tasks
Minimum Qualifications
  • BS and a minimum of 3 years relevant industry experience
  • Hands on experience on image/video processing, machine learning and computer vision
  • Programming skills in Python, Java, or C/C++
Preferred Qualifications
  • PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields
  • Project experience on low level computer vision algorithms such as spatial/temporal filtering, image enhancement, or video analysis
  • Publication record in top tier conferences (e.g., CVPR, ICCV, ICIP, SIGGRAPH, etc)
  • Excellent written and oral communication skills

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 $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

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. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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