AIML - Machine Learning Researcher, MLR

15 hours ago

Cupertino, California, United States Apple Full-time
Play a part in building the next revolution in machine learning technology. We’re looking for passionate researchers to work on ambitious, curiosity-driven, long-term research projects. In this role, you’ll have the opportunity to work on innovative foundational research in machine learning. As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.

You have a strong research background in machine learning or related fields and regularly publish your work in leading conferences and journals. You are committed to producing high-quality, reproducible research.\\nIn this role, you will have the opportunity to define and pursue a research agenda focused on fundamental problems in machine learning, including efficient training algorithms and models with fast inference, especially with multi-modal, multi-task, and reasoning capabilities. You will advance 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.\\nPublication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc.)\\nStrong hands-on experience working with Python and deep learning toolkits such as PyTorch.\\nStrong mathematical skills in linear algebra and statistics\\nPhD or equivalent practical experience in Computer Science or a related technical field

Ability to formulate a research problem and design, experiment, implement, and communicate solutions.\\nAbility to work in a diverse, collaborative environment\\nHigh-quality open-source contributions to related projects\\nStrong presentation skills for internal and external communications