AIML - Sr Data Scientist, Evaluation
Do you get excited by assessing LLM applications' quality and driving the adoption of these applications?
Our Evaluation organization is responsible for providing principled assessments across a diverse range of Apple features, from Search, Siri to the latest Apple Intelligence capabilities. Our team specializes in building LLM-as-judge(i.e. autograder) and related tooling to improve both the quality and efficiency of these evaluations.
We are seeking a principal Data Scientist to own the end-to-end quality analysis of these autograders - from defining rigorous validation frameworks to driving adoption across feature teams. This is a high-impact, high-visibility role at the intersection of data science, AI evaluation, and product quality.
Description
Translate ambiguous quality concerns of the autograders into well-defined, measurable validation targets.
Partner closely with Autograder developers and engineers to build scalable analytic frameworks to measure autograder quality, using both offline eval data and real-world user signals.
Extract meaningful insights from analysis and craft compelling, audience-tailored narratives to drive stakeholder alignment and autograder adoption.
Act as a bridge between the autograder team and feature development teams, leveraging deep domain knowledge to contextualize quality findings.
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Preferred Qualifications
Experience in AI or ML model evaluation, quality measurement, or autograder development.
Experience working with post-ship user data and applying user behavioral signals to improve upstream model or feature quality.
Track record of designing scalable analysis frameworks that can be operationalized across multiple features or product lines.
Demonstrated ability to lead initiatives independently, with a strong sense of ownership and execution from ideation to delivery.
Minimum Qualifications
MS/PhD degree in Statistics, Data Science, Machine Learning, AI, or a related field.
8+ years of experience in analyzing ML/LLM based products.
Familiar with image generation or image understanding models.
Proficiency in Python and strong foundation in statistical analysis and quantitative modeling.
Proven ability to translate ambiguous business or product questions into well-scoped, actionable analysis goals and present complex findings clearly to both techinical and non-technical audience.
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 .
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 $181,100 and $318,400, 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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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