Apple

Apple

Posted via Apple Careers

AIML - Sr Manager, Evaluation - Data Science & Insights

Always Hiring

Posted Aug 20, 2026

Role at a glance

Salary
$225.6K – $381.6K/yr
Location
Seattle, Washington, United States
Work arrangement
On-site
Employment
Full-time
Experience
6+ years of experience in data science and machine learning evaluation, including 3+ years leading technical teams
Education
Advanced degree in a quantitative field such as Statistics, Computer Science, Machine Learning, or similar

Spotted an issue?

We’ll check it against the original posting.

Log in to report

Role Summary

AI-generated

The Senior Manager will lead a team of data scientists within Apple’s Data Science and Insights organization, supporting evaluation for Apple Intelligence, Siri AI, and other user-facing features. The role combines human evaluation with LLM-based autograders and rubrics to improve model and agentic feature quality while balancing customer expectations and privacy.

What You'll Do

  • Own the evaluation roadmap and translate the broader evaluation strategy into concrete methods and deliverables.
  • Lead a team of data scientists, including recruiting, developing, and retaining technical talent.
  • Drive execution across human evaluation, LLM-based autograders, and rubrics.
  • Partner with Apple Intelligence, Siri AI, and other product and engineering teams to embed evaluation into product development cycles.
  • Represent the team’s work to senior leadership across AIML and SWE.

Generated from the employer's posting. Verify important details before applying.

View full posting

Qualifications

6+ years of experience in data science and machine learning evaluation, including 3+ years leading technical teams; demonstrated track record of running teams of 7+ data scientists and/or machine learning engineers; strong experience in human evaluation methodology; hands-on experience building and deploying LLM-based autograders and rubrics; strong written and verbal communication skills

Required

  • 6+ years of experience in data science and machine learning evaluation, including 3+ years leading technical teams
  • Advanced degree in a quantitative field such as Statistics, Computer Science, Machine Learning, or similar
  • Demonstrated track record of running teams of 7+ data scientists and/or machine learning engineers
  • Strong experience in human evaluation methodology for consumer-facing products at scale
  • Hands-on experience building and deploying LLM-based autograders and rubrics
  • Strong written and verbal communication skills, able to communicate effectively with engineers and senior leaders

Preferred

  • Experience evaluating large consumer AI products such as conversational assistants, search systems, or agentic features
  • Experience with logging infrastructure and instrumentation for AI product quality measurement
  • Track record of growing senior individual contributors and leads from within your team
  • Recruiting data science and machine learning talent in competitive hiring markets
  • Familiarity with evaluation frameworks for agentic systems and tool-use

Original job description

Content provided by the employer

Summary

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.

Apple's AIML Evaluation team is looking for a seasoned, technical leader to lead a team within our Data Science and Insights organization. The organization leads Evaluation for Apple Intelligence, Siri AI and a large portfolio of other billion+ user facing features in SWE.

Successful candidates will have strong experience in traditional human evaluation methodology, in addition to hands-on experience building and deploying LLM-based autograders and rubrics, and using these tools to proactively drive improvements in models and agentic features.

Description

As a Senior Manager on the Data Science and Insights team, you'll lead a team of data scientists focused on a core pillar of evaluation, in close collaboration with teams across the company. Your experience will enable you to thoughtfully balance the various tradeoffs involved in creating successful features that meet Apple's high customer expectations for both quality and privacy.

Responsibilities

Owning the evaluation roadmap for your area, translating the org's broader evaluation strategy into concrete methods and deliverables.
Leading a team of data scientists — recruiting, developing, and retaining strong technical talent across both disciplines.
Driving hands-on execution across human evaluation, and LLM-based autograders and rubrics, and ensuring those methods translate into measurable model and agentic feature improvements.
Partnering with Apple Intelligence, Siri AI, and other SWE product and engineering teams to embed evaluation into product development cycles and turn evaluation results into shipped quality gains.Representing your team's work to senior leadership across AIML and SWE.

Minimum Qualifications

6+ years of experience in data science and machine learning evaluation, including 3+ years leading technical teams
Advanced degree in a quantitative field such as Statistics, Computer Science, Machine Learning, or similar
Demonstrated track record of running teams of 7+ data scientists and/or machine learning engineers
Strong experience in human evaluation methodology for consumer-facing products at scale
Hands-on experience building and deploying LLM-based autograders and rubrics, and using them to drive proactive improvements in models and agentic features
Strong written and verbal communication skills, able to communicate effectively with engineers and senior leaders

Preferred Qualifications

Experience evaluating large consumer AI products such as conversational assistants, search systems, or agentic features
Experience with logging infrastructure and instrumentation for AI product quality measurement
Track record of growing senior individual contributors and leads from within your team and, where needed, recruiting data science and machine learning talent in competitive hiring markets
Familiarity with evaluation frameworks for agentic systems and tool-use

Pay & Benefits — Seattle, Washington, United States

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 $225,600 and $381,600, 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.

Application Deadline

Apple accepts applications to this posting on an ongoing basis.

Apple

About the company

Apple

Large Enterprise

Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.