Data Scientist - Survey Design, Data Annotation, and Machine Learning Evaluation

Apple is where individual imaginations gather together, committing to the values that lead to\\ngreat work. Every new product we build, service we create, or experience we deliver is the\\nresult of us making each other's ideas stronger. The diversity of our people and their thinking\\ninspires the innovation that runs through everything we do. When we bring everybody in, we\\ncan do the best work of our lives. Here, you'll do more than join something - you'll add\\nsomething.

The Special Projects team at Apple is developing novel user-facing conversational features that\nleverage the multimodal capabilities of state-of-the-art foundation models. As part of this\nprocess, we generate real-world and simulated data, gather human data annotations, analyze\nthe results, and use them to build and evaluate Large Language Model judges. We are looking\nfor a skilled Data Scientist to join our Machine Learning Evaluations teams. This person will\nwork closely with ML Engineers to manage and analyze our human and automated data\nannotation processes, and to develop, test, and refine LLM judges for generative AI model\nevaluation. A successful candidate is experienced in survey design, data annotation, LLM\nprompt engineering and prompt optimization, and has strong statistical analysis skills.

BA or Master's degree in Data Science, Statistics, or a quantitative social science field\n 2+ years of hands-on experience working in survey design and human data annotation\n Proficiency in Python\n Excellent communication skills

PhD in Data Science, Statistics, or a quantitative social science field\n Hands-on industry experience with product-focused statistical analysis\n Experience working with large-scale multimodal data and data-annotation pipelines\n Experience with LLM prompt engineering & prompt optimization\n Experience with LLM auto-judges for generative AI model evaluation\n A track record of publications or technical presentations in Data Science or a related field\n Excellent at cross-functional collaboration