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Staff Applied Research and ML , Responsible AI and Safety
Apple, Inc.Cupertino, CA🇺🇸United StatesPosted 12 Aug 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Play a part in building the next generation of generative AI applications at Apple. We're looking for AI Leaders, Scientists, Engineers and Researchers to tackle ambitious projects that will impact the future of Apple and our products.
Description
Research and advance red teaming methods for LLM's and diffusion models
Research and develop mitigations and safeguards to ensure safe deployment of LLM's in Apple products
Develop tools, metrics, and datasets for assessing and evaluating the safety of LLM's over the model deployment lifecycle, as well as methods and tools to help interpret and explain failures in language models
Minimum Qualifications
PhD or equivalent experience, in Computer Science, or related technical field is helpful
Demonstrated expertise in ML research and/or ML production deployment lifecycle
Deep understanding of LLM
Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
Ability to formulate a research problem, design, experiment, implement and communicate solutions
Ability to work in a diverse collaborative environment
Preferred Qualifications
Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, EMNLP, etc.)
Experience working on Responsible AI and AI Safety
Description
Research and advance red teaming methods for LLM's and diffusion models
Research and develop mitigations and safeguards to ensure safe deployment of LLM's in Apple products
Develop tools, metrics, and datasets for assessing and evaluating the safety of LLM's over the model deployment lifecycle, as well as methods and tools to help interpret and explain failures in language models
Minimum Qualifications
PhD or equivalent experience, in Computer Science, or related technical field is helpful
Demonstrated expertise in ML research and/or ML production deployment lifecycle
Deep understanding of LLM
Hands-on experience working with deep learning toolkits such as Tensorflow or PyTorch
Ability to formulate a research problem, design, experiment, implement and communicate solutions
Ability to work in a diverse collaborative environment
Preferred Qualifications
Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, EMNLP, etc.)
Experience working on Responsible AI and AI Safety
Skills
Deep Learning
Generative AI
LLM
PyTorch
SAFe
TensorFlow
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