Job Details

Role Number: 200652980-0836

Summary

At Apple, we blend world-class hardware, software, and services to produce a tight ecosystem of products used by billions of people around the world. Machine Learning and AI models are integrated throughout our ecosystem to enhance the user experience. Ensuring a delightful end to end user experience requires well-thought out data curation, rigorous evaluation methodology, and a high signal north star metric.
Guiding feature development across the entire product life cycle requires partnering closely with modeling teams, engineers, design, and others. At Apple’s scale, it’s paramount that your evaluation methods scale across platforms, user-model mediums, and languages.

Description

Advance the performance of Apple Intelligence Large Language Models, across Apple platforms, languages, and modalities.
Advise the data training and product roadmap for Foundation Models.
Design detailed evaluation methodologies in close partnership with engineering and product teams to support critical go/no-go decisions.
Develop and evangelize robust metrics for hillclimbing.
Prototype impactful analyses and productionalize novel pipelines.
Regularly present to partner teams and executive sponsors, both at a technical and high level.

Minimum Qualifications

• Bachelors degree and 7+ years of work experience in Data Science, Machine Learning, or Analytics.

• Expertise in evaluation, either Human Evaluation, A/B Testing, UX Studies, Automated Testing, or similar.

• Strong intuition for metrics, including their strengths and shortcomings.

• A track record of positive impact on shipped products.

Preferred Qualifications

• Experience with LLMs, especially as it relates to evaluation and data.

• Strong communication skills and experience persuading both technical audiences and high level executive audiences.

• Passion for Apple products.

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .