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Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something!

We are a team of computer vision and machine learning (CVML) engineers building real-time 3D perception and input systems for future Apple products. We are looking for a strong CVML engineer with both 3D geometry and ML background, optimally with experience in 3D rigid/non-rigid object tracking, sensor fusion, or SLAM/VIO. In this role, you will help design, build, and ship core 3D perception and input technologies used by millions of users.

Description

You will work closely with CVML researchers and engineers to develop world-class perception, spatial input, and 3D tracking algorithms and software. The role focuses on inventing and implementing state of the art CVML algorithms to solve cutting edge problems. As a member of a fast-paced team, you have the unique and rewarding opportunity to shape upcoming products that will delight and inspire millions of people every day.","responsibilities":"Invent and implement state-of-the-art CV/ML algorithms for perception and 3D tracking

Design robust, efficient solutions optimized for mobile and on-device hardware

Collaborate across software, hardware, and systems teams to ensure efficient end-to-end pipelines and effective use of Apple silicon

Iterate quickly based on data, feedback, and system constraints

Contribute to technical direction and roadmaps for next-generation perception and AI capabilities

Translate research ideas into production-quality systems and integrations

Preferred Qualifications

PhD in computer vision, machine learning, robotics, or related fields

Experience across both classical 3D computer vision and deep learning

Familiarity with visual-inertial or multi-sensor fusion

Strong C++ and systems engineering skills, with experience delivering robust, efficient algorithms

Self-motivated with a proven record of prioritization and on-time delivery

Minimum Qualifications

Bachelor's degree with 5+ years of relevant industry experience

Strong foundation in computer vision in one or multiple of these areas, including 3D rigid/non-rigid object tracking, multi-view geometry, and visual-inertial odometry (VIO)

Proficiency in Python and deep learning frameworks such as PyTorch

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 $184,700 and $324,800, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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