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

At Apple - Cupertino

Posted on Oct 16

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Apple

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

Cupertino, CA$184,700 – $324,800Posted 23 days ago

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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.

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.

Experience in designing human-in-the-loop evaluation workflows.

Familiar with image quality evaluation.

Demonstrated passion for leveraging AI to improve work efficiency and scale.

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.

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 $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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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