Jobs/Computer Vision/ Machine Learning Software Engineer - Apple Vision Pro

Computer Vision/ Machine Learning Software Engineer - Apple Vision Pro

Apple Inc.California, US
Full-time

About the Role

Overview San Francisco Bay Area, California, United States — Machine Learning and AI 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 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 Compensation and Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. 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. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Equal Opportunity 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. #J-18808-Ljbffr
Apply on Company Site

Apply for this Position

Fill out the form below to apply for this role

PDF or Word document, max 10MB

By submitting this application, you agree to your information being shared with the hiring team.

About the Company

Apple Inc.

Job Details

Job Type

Full-time

Location

California, US

Reference

EXT-MPY96CGB-8CIT

Posted

3 Jun 2026

Views

1 views

Applications

0 applications