3D Computer Vision and Machine Learning Engineer

Apple

Benefits
Qualifications
Skills

Summary

Posted: Mar 16, 2024

Role Number:200542835

The Video Computer Vision organization is working on exciting technologies for future Apple products. Our focus is on ML based solution around real time image and video. We have contributed to the Vision Pro and ARKit on iOS in the past. We are looking for the right Engineer to help us take our efforts to the next level. In this role, you will work together with similar minds in a unique development team where your skills and expertise will be put into the Apple products. This role is highly multi-functional and you will work very closely with various highly skilled software development / ML teams developing groundbreaking algorithms.

Key Qualifications

Key Qualifications

  • Traditional ML and deep learning proven experience, especially related to localization and Simultaneous Localization and Mapping (SLAM).
  • Classical SLAM - Simultaneous Localization and Mapping experience is a plus.
  • Multi-view geometry experience is a plus.
  • Understanding of visual inertial sensor fusion / or general sensor fusion is a plus.
  • Solid programming skills with c/c++.
  • Passion on innovative computer vision/machine learning technologies and product delivery.
  • Ability to communicate the results of analyses in a clear and effective manner.

Description

Description

You will create 3D computer vision algorithms to deliver AR/VR experiences that are impactful, meaningful, and influential. We work closely with Apple’s best-in-class designers to ensure the products we ship are more than technical demos – they resonate with users at a personal level. In this role you will be working on a wide range of responsibilities: core technology algorithm development in support of future user experiences; communicating with and supporting external teams that use our algorithms; supporting low-level, cross-platform efforts; participating in code reviews; and being a constant advocate within the team for high quality results.

Education & Experience

Education & Experience

PhD or equivalent in computer vision, robotics or machine learning; alternatively a comparable industry career, with significant experience on delivering products using innovative computer vision, machine learning and robotics technologies.

Additional Requirements

Additional Requirements

Pay & Benefits

Pay & Benefits

  • 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 $138,900.00 and $256,500.00, 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.
  • Apple is an equal opportunity employer that is 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.
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Confirmed 19 hours ago. Posted 30+ days ago.

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