Measurement Scientist, AI Evaluation Platform

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

92% 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

Measurement Scientist, AI Evaluation Platform Seattle, 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 App 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. Our team, part of Apple Services Engineering, is building the scientific foundation for how AI systems are evaluated across Apple. We are seeking a Measurement Scientist to ensure that our evaluation methods are not just sophisticated, but scientifically valid and trustworthy . In this role, you will apply psychometric theory , validity frameworks, and statistical rigor to establish measurement standards for AI evaluation - ensuring that when we claim an evaluator measures "helpfulness" or "safety ," it actually does. We are looking for individuals across a range of experience levels. This role uniquely bridges measurement science and cutting-edge AI evaluation. You will develop methods for validating LLM-as-judge evaluators, automated benchmarks, and human evaluations. And you will create statistical tools that help engineers trust their evaluation results. You will work

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