Sr. Research Manager, Evaluation Science

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 checked Jun 13, 2026

Salary

$217K-$326K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

133% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

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

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. Research Manager, Evaluation Science Seattle, United States of America AI systems are only as trustworthy as the methods used to evaluate them. At Apple, where AI powers experiences for billions of people, getting evaluation right is not a support function. It is a foundational science. As these systems grow in complexity , the quality of our products is increasingly constrained by the quality of our evaluation methods. Our team is building the scientific foundation and self-service tools for how AI evaluation is done at scale, spanning LLMs, agentic systems, and human-AI interaction. We don't just publish methods; we productionize them. We are looking for a Sr. Research Manager to lead an ML research team that advances the state-of-the-art in evaluation methods that can be shipped as production tools for Apple developers and published in top venues. We are looking for a Sr. Research Manager to lead a ML research team advancing the frontier of evaluation methods. The team works in close collaboration with applied scientists and measurement scientists to build evaluation methodology and systems that are human-centered, psychometrically rigorous, and technically frontier. Y ou will set the research agenda, direct the team's portfolio across near-term and long-term bets, and ensure that novel methods are designed from the outset for productionization into evaluation SDKs and APIs. The team has active projects across multiple research areas; your most immediate contribution will be bringing strategic focus to this portfolio, leading a research lifecycle that turns your team's work into high-impact internal applications,

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