Job Details

Computer Vision/ Machine Learning Software Engineer - Apple Vision Pro

San Francisco Bay Area, California, United States

Machine Learning and AI

Summary

Posted: Sep 04, 2025

Weekly Hours: 40

Role Number: 200618260-3401

We're looking for an excellent R&D CVML talent to join ARKit algorithms, a team of self-driven and dedicated Computer vision and Machine Learning engineers and pragmatic solvers working on challenging realtime vision/perception problems to deliver experiences that are impactful, meaningful, and influential. As a member of the fast-paced ARKit group --the team that released the world’s largest platform for 2D/3D computer vision algorithms-- you will have a unique and rewarding opportunity to innovative and contribute to the development of the upcoming next big products that will delight and inspire millions of Apple customers every day. Imagine what you could do here.

Apple Vision Pro is a revolutionary spatial computer that seamlessly blends digital content with your physical space. It will allow us to do the things we love in ways never before possible — all while staying connected to the people around us. In this position, you will join a team of computer vision and machine learning researchers and engineers to discover and build solutions to previously-unsolved challenges and push the state of the art.

Description

This is a role for a CVML software engineer with a strong focus on developing real time visual perception algorithms for long term localization. As part of your role, you will have the chance to contribute in cross-functional projects to develop core real time perception extending the scope of our existing localization system to more challenging scenarios.

Responsibilities

• Some of the main responsibilities for this role include:

• To implement new CVML state of the art algorithms on our real time CVML framework at production level

• To support visual debugging and algorithm evaluation.

• To support development leveraging other frameworks / tools specific to on-device deployment

• To design, test and maintain algorithm’s APIs in C/C++ To optimize algorithm pipelines for different SW platforms (iOS, MacOs) and HW architectures (CPU/GPU/others)

Minimum Qualifications

• MSc / PhD in computer vision, robotics; alternatively a comparable industry career, with significant experience on delivering products using state-of-the-art computer vision, machine learning technologies.

• 3+ years of experience developing high quality software

• Solid C/C++, python development skills

• Solid fundamentals in Computer Vision and Deep Learning

• Solid experience with Deep learning frameworks and tools: PyTorch (preferred), ASW

• Experience with development of real time SLAM/Relocalization systems

• Excellent software design, problem solving and debugging skills

• Excellent communication and teamwork skills (team player, self motivated, fast learner)

Preferred Qualifications

• Familiarity with macOS, iOS operating systems (preferred)

• Familiarity with build systems Xcode / CMake (preferred)

• Expertise with internal CV/ML frameworks for MacOS, iOS

• Expertise on development of real time SLAM/Relocalization systems using vision, WIFI, depth, inertial sensors

• Expertise on development realtime Visual Place Recognition using most recent Deep Learning SoTA

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 $147,400 and $272,100, 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.