Job Details

Job Information

Machine Learning/Computer Vision Engineer
AWM-614-Machine Learning/Computer Vision Engineer
4/18/2025
4/23/2025
Negotiable
Permanent

Other Information

www.apple.com
Sunnyvale, CA, 94086, USA
Sunnyvale
California
United States
94086

Job Description

No Video Available
 

Machine Learning/Computer Vision Engineer

Sunnyvale, California, United States

Machine Learning and AI

Summary

Posted: Apr 04, 2025

Role Number: 200597543

The Video Computer Vision organization is working on exciting technologies for future Apple products. Our team delivers computer vision and machine learning algorithms that power many Apple technologies like human understanding and human intelligence algorithms with applications for digital humans, health and AI. In this role, you will work closely with our team of experts in computer graphics, computer vision and machine learning to design and build solutions to previously unsolved challenges for Apple products and bring high impact to millions of users.

Description

We are looking for a skilled Machine Learning/Computer Vision Engineer with hands-on experience developing algorithms for human understanding and human intelligence applications.

Responsibilities include but not limited to:
- Adapt state-of-the-art algorithms, as well as design and implement new algorithms to solve challenging problems.
- Collaborate with others to drive requirements and validation tests to ship models.
- Take a practical approach to problem solving and adapt to an evolving environment.
- Deliver clean, modular, testable algorithm code.

  • Communicate and work effectively with cross-functional partners.

The ideal candidate should possess the following qualities:
- Be highly-motivated and take initiative to achieve goals, while delivering on schedule.
- Has a sense of curiosity and willingness to learn new things in order to improve the quality of their solutions.
- Works well in a collaborative setting.

Minimum Qualifications

  • BS and a minimum of 3 years relevant industry experience

  • Software engineering skills and proficiency in Python and PyTorch.

Preferred Qualifications

  • MS or PhD in computer vision, computer graphics, machine learning, computer science, computer engineering or related fields.

  • Comprehensive understanding of diffusion models, transformers and auto-encoders.

  • Capable of making well-informed and practical decisions in a rapidly evolving environment.

  • Excellent communication and experience working with multi-functional teams.

  • Self-motivated with proven track record to optimally prioritize and deliver tasks on schedule.

  • Good software engineering skills and proficiency in C/C++.

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 $143,100 and $264,200, 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. (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.

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.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

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.Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Other Details

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