The Health Sensing team at Apple is looking to develop and validate evaluation methodologies for Generative AI systems in health and wellbeing applications to provide users with objective, accurate, and timely information about their health and well-being.
Requirements
- Proficiency in Python and ability to write clean, performant code and collaborate using standard software development practices (e.g. Git)
- Strong statistical analysis skills and experience in crafting experiments, validating data quality and model performance
- Experience in building and extending data and inference pipelines to process large scale datasets
- Real-world experience with LLM-based evaluation systems and human annotation and human evaluation methodologies
- Experience in rigorous, evidence-based approaches to test development, e.g. quantitative and qualitative test design, reliability and validity analysis
- MS and a minimum of 3 years of relevant industry experience or PhD in relevant fields
- Strong communication skills and ability to work cross-functionally with technical and non-technical stakeholders
Responsibilities
- Design and analyze human evaluations of AI systems to create reliable annotation frameworks, and ensure validity and reliability of measurements of latent constructs
- Develop and refine benchmarks and evaluation protocols, using statistical modeling, test theory, and task design to capture model performance across diverse contexts and user needs
- Conduct statistical analysis of evaluation data to extract meaningful insights, identify systematic issues, and inform improvements to both models and evaluation processes
- Analyze model behavior, identify weaknesses, and drive design decisions with failure analysis
- Collaborate with engineers to translate evaluation methods and analysis techniques into scalable, adaptable, and reliable solutions that can be reused across different features, use cases, and evaluation workflows
- Work cross-functionally to apply methods to real-world applications with designers, clinical experts, and engineering teams across Hardware and Software
- Independently run and analyze experiments for real improvements
Other
- Bachelor's degree (or equivalent experience) in a empirical field with emphasis on quantitative methodologies of human behavior
- Customer-focused mindset with experience or strong interest in building consumer digital health and wellness products
- Strong communication skills and ability to work cross-functionally with technical and non-technical stakeholders
- Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services
- Reimbursement for certain educational expenses - including tuition
