You should have a strong research background in machine learning or related fields with a proven record of publications in leading machine learning conferences and this role you will have the opportunity to define and pursue a research agenda focused on solving fundamental problems related to data-centric ML and AI agents such as synthetic data generation enhancing planning and reasoning capabilities of ML models. You will focus on producing high-quality reproducible research and advancing our understanding of these areas through rigorous experimentation and close collaboration with colleagues. You will also develop high-quality code provide technical mentorship and prepare publications and presentations for top-tier venues. Additionally you will have opportunities to collaborate with broader teams across Apple.
Demonstrated expertise in machine learning research
Publication record in relevant conferences (e.g. NeurIPS ICML ICLR AAAI CVPR ICCV ECCV ACL EMNLP NAACL etc.)
Strong hands-on experience working with Python and deep learning toolkits such as PyTorch
Strong mathematical skills in linear algebra and statistics
Ability to formulate a research problem and design experiment implement and communicate solutions.
Ability to work in a diverse collaborative environment.
High-quality open-source contributions to related projects.
PhD or equivalent practical experience in Computer Science or a related technical field.
Strong presentation skills for internal and external communications
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