AIML - ML Engineer, Safety & Red Teaming
Description For AIML - ML Engineer, Safety & Red Teaming
Join Apple's next generation of generative AI applications development as part of the HCMI group. This role focuses on building and evaluating safety mechanisms for large generative models in vision and language. You'll work on cutting-edge projects involving model safety, robustness, and uncertainty assessment. The position involves developing tools and metrics for safety evaluation, creating interpretation methods for language and diffusion models, and maintaining red teaming pipelines. You'll be part of a team working on ambitious projects that will shape the future of Apple's products and their impact on the world. The role requires expertise in machine learning, particularly in generative AI, with a focus on safety and quality assurance. You'll work with state-of-the-art language and vision models while ensuring their responsible deployment. This is an opportunity to influence the development of AI features that will be used by millions of people while maintaining high standards of safety and reliability. The position offers the chance to work with highly skilled professionals in Apple's innovative environment, contributing to groundbreaking advancements in AI technology.
Responsibilities For AIML - ML Engineer, Safety & Red Teaming
- Develop models, tools, metrics, and datasets for assessing and evaluating the safety of generative models
- Develop methods, 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
- Prototype, implement, and evaluate new ML models and algorithms for red teaming LLMs
Requirements For AIML - ML Engineer, Safety & Red Teaming
- 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
- BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification
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