AIML - Sr Applied AI Scientist - GenAI Model Autograding, Evaluation

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 185,000 - 325,000; Full time

Benefits offered by this job

Comprehensive medical and dental cover

Retirement benefits

Discounted products and free services

Education reimbursement

Job summary

Apple Inc. in Cupertino, CA is seeking an Applied AI Scientist to design and advance autograder systems that evaluate AI product quality at scale.

You will apply prompt engineering, foundation model adaptation, and evaluation methodologies to build robust, trustworthy evaluators that measure performance, UX, and safety across Apple AI features. You will collaborate with product, annotation, evaluation data scientists, and autograder tooling engineers to deploy state-of-the-art autograders that

Qualifications

• Extensive experience with prompting techniques.
• Deep understanding of GenAI models and 1+ year of industry experience in building or evaluating GenAI models.
• Familiarity with LLMOps processes for deploying and monitoring AI models in production.
• Excellent analytical skills and judgement; able to assess data quality and communicate findings.

Responsibilities

• Design and advance state-of-the-art autograder systems to evaluate AI product quality at scale.
• Apply prompt engineering and foundation model adaptation to robust evaluators.
• Collaborate with product, annotation, evaluation data scientists, and autograder tooling engineers to deploy autograders that impact product quality.

Skills

Prompting techniques

GenAI models

LLMOps

Analytical skills

Ownership

Education

MS/PhD in CS/ML

Tools

N/A

Job description

Cupertino, California, United States Machine Learning and AI

Do you get excited by building AI applications to enhance the evaluation of various Apple AI products? 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 a highly innovative and passionate Applied AI Scientist to develop cutting-edge AI/ML models for the automatic grading and quality assessment of our internal GenAI products.

Description

In this pivotal role, you will design and advance state-of-the-art autograder systems that evaluate various AI product quality at scale. You will apply deep expertise in prompt engineering, foundation model adaptation, and evaluation methodology to build robust, trustworthy, and extensible autograders that assess product performance, user experience, and adherence to quality and safety standards. Then you will collaborate with product, annotation, evaluation data scientists, autograder tooling engineers to deploy the state-of-the-art autograders, directly impacting the quality and success of Apple's next-generation AI-powered features.

Minimum Qualifications

• Extensive experience with prompting techniques.
• Deep understanding of GenAI models and 1+ year of industry experience in building or evaluation GenAI models.
• Familiarity with LLMOps processes for deploying, monitoring and hillclimbing AI models in production environments.
• Excellent analytical skills and judgement, capable of assessing data quality, diagnosing autograder limitations or biases, synthesizing findings into actionable insights, and communicating them clearly across teams.
• MS/PhD degree in Computer Science, Machine Learning, AI, or a related fields.
• Ownership mindset with the flexibility to take on whatever tasks (including annotation or operational work) are necessary to deliver results.

Preferred Qualifications

• Experience in developing AI models specifically for quality assessment or automated feedback generation.
• Familiarity with human annotation operations, sampling strategies, or subjective judgment evaluation.
• Familiar with image quality evaluation.
• Demonstrated passion for leveraging AI to improve work efficiency and scale.

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 $184,700 and $324,800, 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.