About The Position
The Special Projects team at Apple is developing novel user-facing conversational features that leverage the multimodal capabilities of state-of-the-art foundation models. As part of this process, they generate real-world and simulated data, gather human data annotations, analyze the results, and use them to build and evaluate Large Language Model judges. The team is looking for a skilled Data Scientist to join their Machine Learning Evaluations teams. This person will work closely with ML Engineers to manage and analyze human and automated data annotation processes, and to develop, test, and refine LLM judges for generative AI model evaluation. A successful candidate is experienced in survey design, data annotation, LLM prompt engineering and prompt optimization, and has strong statistical analysis skills.
Requirements
- BA or Master’s degree in Data Science, Statistics, or a quantitative social science field
- 2+ years of hands-on experience working in survey design and human data annotation
- Proficiency in Python
- Excellent communication skills
Nice To Haves
- PhD in Data Science, Statistics, or a quantitative social science field
- Hands-on industry experience with product-focused statistical analysis
- Experience working with large-scale multimodal data and data-annotation pipelines
- Experience with LLM prompt engineering & prompt optimization
- Experience with LLM auto-judges for generative AI model evaluation
- A track record of publications or technical presentations in Data Science or a related field
- Excellent at cross-functional collaboration
Responsibilities
- Work closely with ML Engineers to manage and analyze human and automated data annotation processes
- Develop, test, and refine LLM judges for generative AI model evaluation
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What This Job Offers
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
