Job Details

Role Number: 200622800-0836

Summary

As part of the work on machine-generated dialog we are developing novel measurements of its quality. These include cutting-edge llm-judges for aspects like groundedness (lack of hallucinations), Siri Tone and Style (a suite of Design requirements), Safety, and others.

Description

To measure our progress on this front, we need to track the state of our dataset composition, accuracy of llm-judges, human expert review results in a central and visual representation. A DRI for Metrics and Reporting will:

Minimum Qualifications

• M.S. or Ph.D. in Computer Science, Data Science, Data Engineering

• 3+ years in data-science and/or data-engineering (iceberg, pandas python, Tableau or equivalent, data collection and visualization)

• 2+ years of python coding

• Good understanding of metrics, crowd science, annotation analysis, statistics

• Ability to work independently and cross-functionally to integrate in partner team reporting systems and pipelines

• Excellent communication skills and the ability to thrive in a highly collaborative work environment

• Good engineering practices to create sustainable and easy to use metric reporting pipelines

Preferred Qualifications

• Experience with writing and architecting production level code

• Deep understanding of Machine Learning concepts

• Experience in Model training and/or evaluation

• Good engineering practices to create sustainable and easy to use metric reporting pipelines

• Attunement to computational linguistics, language quality is a plus

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) .