Apple

Apple

Posted via Apple Careers

Computer Vision and Machine Learning Engineer

Always Hiring

Posted Aug 4, 2026

Role at a glance

Salary
$150.4K – $277.6K/yr
Location
Sunnyvale, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
a minimum of 3 years relevant industry experience
Education
Bachelor degree

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Role Summary

AI-generated

The Video Computer Vision group is a centralized applied research and engineering team developing real-time, on-device computer vision and machine perception technologies for Apple products. This role focuses on 3D computer vision and machine learning algorithms for spatial media and AI, taking research from implementation through product delivery.

What You'll Do

  • Design algorithms for spatial media and AI
  • Implement real-time computer vision and machine learning algorithms
  • Work alongside computer vision and machine learning researchers
  • Bring algorithms from research all the way to product
  • Develop technologies for spatial computing

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

Proficient in C/C++, CUDA or other GPGPU; expertise in at least one deep learning framework; solid foundation in 3D graphics and computer vision; understanding of machine learning technology; Bachelor degree and a minimum of 3 years relevant industry experience.

Required

  • Proficient in C/C++, CUDA or other GPGPU
  • Expertise in at least one deep learning framework, eg: PyTorch, TensorFlow, or Jax
  • Solid foundation in 3D graphics and computer vision
  • Understanding of machine learning technology
  • Bachelor degree
  • A minimum of 3 years relevant industry experience

Preferred

  • Swift is a plus
  • Be able to work independently and with others
  • Excellent problem-solving, critical thinking, and communication skills
  • Passion for cutting edge AI and spatial computing technologies and product delivery

Original job description

Content provided by the employer

Summary

The Video Computer Vision org is a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We have contributed to the algorithms driving FaceID and FaceKit in the past and more recently to the new Apple Vision Pro and Spatial Computing. As a member of the Video Computer Vision group you will perform cutting-edge artificial intelligence research that will craft the future of spatial computing.

We are looking for the right 3D Computer Vision and Machine Learning Engineer to help us take our efforts to the next level. You will be part of a community of researchers and engineers who are passionate about pushing the boundaries of what is possible with spatial media and AI. We value a culture of learning, intellectual curiosity, and exploration, and we believe that your passion and expertise will help us create revolutionary products that delight and inspire millions of people every day.

Description

We are looking for a proactive Computer Vision and Machine Learning Engineer to join our team and help design and implement algorithms for spatial media and AI. The ideal candidate should have experience with 3DCV, rendering techniques and machine learning and be passionate about bringing algorithms from research all the way to product.
In this position, you will work along side computer vision and machine learning researchers to implement world class algorithms that pushes the state of the art and resonate with our users at a personal level.

Minimum Qualifications

Proficient in C/C++, CUDA or other GPGPU
Expertise in at least one deep learning framework, eg: PyTorch, TensorFlow, or Jax
Solid foundation in 3D graphics and computer vision
Understanding of machine learning technology
Bachelor degree and a minimum of 3 years relevant industry experience

Preferred Qualifications

Swift is a plus
Be able to work independently and with others
Excellent problem-solving, critical thinking, and communication skills
Passion for cutting edge AI and spatial computing technologies and product delivery

Pay & Benefits — Sunnyvale, California, United States

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. Learn more about Apple Benefits

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

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

Apple

About the company

Apple

Large Enterprise

Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.