AIML - Manager, Applied AI Science - LLM/VLM-as-a-judge

Apple, Inc.; Cupertino (CA); On-site; USD 206,000 - 356,000; Full time

Benefits offered by this job

Employee stock programs

Relocation assistance

Tuition reimbursement

Job summary

Apple Cupertino seeks a hands‑on AIML Manager to lead a team of Applied AI Scientists building state‑of‑the‑art autograder systems for evaluating GenAI products at scale. You will set the technical direction, grow the team, and partner across Apple to make automated evaluation a foundation for product quality decisions.

The role demands 5+ years in ML, experience leading 3+ engineers/scientists, and a deep grasp of GenAI evaluation methods.

Qualifications

• MS/PhD in CS/ML/AI or related field.
• Experience building LLM/VLM evaluators or autograders.
• Proven leadership of teams of 3+ ML engineers/AI scientists.
• Deep understanding of GenAI models and evaluation methodologies.

Responsibilities

• Lead and grow a high‑performing team of applied AI scientists and ML engineers, including hiring and talent development.
• Set the technical vision and roadmap for autograder development, evaluation methodology, and toolings.
• Deliver reliable, scalable LLM/VLM‑based evaluation systems for product‑quality decisions.
• Navigate cross‑functional dependencies and align across organizations.
• Standardize and automate end‑to‑end evaluation workflow to scale beyond bespoke autograder development.

Skills

Team leadership

Applied AI/ML

Autograder systems

Rubric design

Education

MS/PhD in Computer Science or ML/AI

Tools

LLM/VLM evaluators

Autograder development

Job description

AIML - Manager, Applied AI Science - LLM/VLM-as-a-judge

Cupertino, California, United States Machine Learning and AI

Do you get excited by building and leading a team that redefines how AI products are evaluated? Our Evaluation organization is responsible for providing principled assessments across a diverse range of Apple features, from Search and Siri to the latest Apple Intelligence capabilities. Within this critical function, our team specializes in leveraging advanced AI/ML techniques to enhance both the quality and efficiency of these comprehensive evaluations.

We are seeking an experienced and hands‑on Manager to lead a team of Applied AI Scientists developing cutting‑edge AI/ML models for the automatic grading and quality assessment of our internal GenAI products. You will set the technical direction for autograding at Apple, grow the scientists who build it, and partner across the company to make trustworthy automated evaluation a foundation that every AI product team can rely on.

Description

In this pivotal role, you will build and lead the team that designs state‑of‑the‑art autograder systems evaluating AI product quality at scale.

Responsibilities

• Lead and grow a high‑performing team of applied AI scientists and machine learning engineers, including hiring, talent development, performance management, and building a strong technical leadership layer.
• Set the technical vision and roadmap for autograder development, evaluation methodology, and toolings.
• Deliver reliable, scalable LLM/VLM‑based evaluation systems that can be trusted for product‑quality decisions.
• Navigate complex technical and organizational challenges, resolve cross‑functional dependencies, and sustain alignment across organizations.
• Identify opportunities to standardize and automate the end‑to‑end evaluation workflow, enabling the team to scale beyond bespoke autograder development.

Minimum Qualifications

• MS/PhD degree in Computer Science, Machine Learning, AI, or a related field.
• 1+ years of industry experience building LLM/VLM‑based evaluators, autograders, or automated evaluation systems.
• 5+ years of hands‑on experience in machine learning, model alignment, or benchmark creation.
• Track record of managing teams of 3+ machine learning engineers and/or AI scientists.
• Deep understanding of GenAI models and their evaluation methodologies, including rubric design, evaluation set development, validation, calibration, and human‑model alignment.

Preferred Qualifications

• Strong technical judgment and a track record of leading complex, ambiguous AI/ML projects from definition through delivery.
• Experience translating emerging GenAI techniques and research into reliable, production‑ready systems.
• Experience scaling AI/ML solutions into reusable platforms, frameworks, or standardized workflows.
• Demonstrated track record of developing senior machine learning engineers and/or technical leads.
• Demonstrated ability to align diverse stakeholders around strategy, navigate complex situations, and drive effective outcomes across organizations.

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 $206,200 and $356,400, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.