Sr. Research Manager, Evaluation Science

Apple Inc

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$216,600–$325,500 / yr
Posted
29 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $271k
$130k most similar roles pay here $346k

This role pays more than 90% of similar roles. Most pay $162,000–$234,150 — the shaded band above. At the midpoint, this role pays about $271k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Sr. Research Manager, Evaluation Science

As a Senior Research Manager in Evaluation Science at Apple, you will lead an ML research team focused on advancing the state-of-the-art in evaluation methods for AI systems, including LLMs and agentic systems. Your day-to-day responsibilities include setting the research agenda, directing portfolio management across near-term and long-term projects, and ensuring that novel methods are designed for productionization into SDKs and APIs. You will collaborate with applied scientists and measurement scientists to build human-centered evaluation methodologies and systems, while maintaining a strong external presence at top-tier venues like NeurIPS and ICML. The role requires expertise in AI evaluation, experience translating research into production tools, and the ability to coach researchers towards impactful publications. Ideal candidates have a Ph.D., 5+ years of industry leadership experience, and a track record of bridging ML research with measurement science.

What you'll do

  • Set and execute a balanced research strategy focusing on both near-term and long-term projects.
  • Lead an ML research team to advance evaluation methods for production tools and top-tier publications.
  • Design evaluation systems that can be easily adopted by non-researcher Apple engineers through SDKs and APIs.
  • Recruit, develop, and retain top research talent with a compelling vision and strong mentorship culture.
  • Ensure interdisciplinary collaboration while maintaining distinct expertise in ML, measurement science, and applied engineering.
  • Represent the team at conferences and workshops to enhance visibility in the evaluation science community.

What we're looking for

  • Ph.D. in Computer Science, Machine Learning, Statistics, or a related field
  • 5+ years of industry experience managing research teams with strong talent attraction and retention
  • Track record of publishing at top-tier AI/ML venues like NeurIPS, ICML, ICLR
  • Experience translating research into production systems used by other teams
  • Technical expertise in AI evaluation methods across various approaches
  • Proven ability to set and execute a balanced research strategy with competing priorities

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