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Apple

AIML - Sr Manager, Evaluation - Data Science & Insights

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What they do

A Data Science Manager manages a team of data scientists, machine learning engineers and big data specialists. They lead data mining and collection procedures, ensure data quality and integrity, build analytic systems and predictive models, and test the performance of data science products.

$158,556 / year median in Washington

+26% projected growth

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Job Description

AIML
  • Sr Manager, Evaluation
  • Data Science & Insights Apple
  • 4.1 Seattle, WA Job Details $225,600
  • $381,600 a year 6 hours ago Benefits Employee stock purchase plan Health insurance Dental insurance RSU Retirement plan Qualifications AI models Evaluation research Testing and evaluation Managing data teams Team development Machine intelligence Managing teams of scientists Model deployment Improving predictive model accuracy Leading team collaboration initiatives Data science Machine learning (ML) fundamentals AI Model evaluation Senior leadership Full Job Description 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. 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 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 Pay & Benefits 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.

Benefits

  • Financial Aid/Assistance
  • Other Retirement and Savings
  • Employee Stock Options (ESOs)
  • Health Insurance