Computer Vision Research Engineer - Apple Maps 3D Vision Team

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified last checked Jun 13, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

87% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Computer Vision Research Engineer - Apple Maps 3D Vision Team Cupertino, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver 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 at the 3D Vision team at Apple Maps are looking for the very best talent to join our team of computer vision and machine learning experts. With us, you will be working on ground breaking technology by researching and developing new methods and algorithms deployed on a global scale. As part of this team you would be working on extremely large data sets of different modalities, collected by various moving platforms, including aerial, satellite, and ground. You need to have a strong curiosity about tackling and solving new real-world problems. You would join a team of fast paced and pragmatic problem solvers that are tackling the toughest problems in the field by developing new innovative technology. You will be a part of a

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