• Develop models, tools, metrics, and datasets for assessing and evaluating the safety of generative models over the model deployment lifecycle
• Develop models, models, and tools to interpret and explain failures in language and diffusion models
• Build and maintain human annotation and red teaming pipelines to assess quality and risk of various Apple products
• Prototype, implement, and evaluate new ML models and algorithms for red teaming LLMs

Required Qualifications:

• Strong engineering skills and experience in writing production-quality code in Python, Swift or other programming languages
• Background in generative models, natural language processing, LLMs, or diffusion models
• Experience with failure analysis, quality engineering, or robustness analysis for AI/ML based features
• Experience working with crowd-based annotations and human evaluations
• Experience working on explainability and interpretation of AI/ML models
• Work with highly-sensitive content with exposure to offensive and controversial content

Preferred Qualifications:

• BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
• Proven track record of contributing to diverse teams in a collaborative environment

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.