Staff Applied Research and ML
Apple
Staff Applied Research and ML
Apple
Designs phones, computers and their operating systems
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.
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
Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, EMNLP, etc.) Experience working on Responsible AI and AI Safety
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
Apple designs and sells consumer electronics, from iPhone smartphones and Mac computers to tablets and wearable devices. Its operating systems manage apps and built-in functions for communication and work, while iCloud stores files and synchronizes data across devices. Customers buy additional digital services through subscriptions such as Apple Music and Apple TV, and developers distribute software through the App Store. Apple earns money from hardware sales, subscriptions and digital transactions, selling directly to customers and through retailers and mobile carriers around the world. It was founded in 1976 and has its headquarters in Cupertino, California.
Explore more opportunities at Apple