AIML - Machine Learning Researcher, MLR

Description

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.

In 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.

Minimum Qualifications

Demonstrated expertise in machine learning research.

Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc.)

Strong hands-on experience working with Python and deep learning toolkits such as PyTorch.

Strong mathematical skills in linear algebra and statistics

PhD or equivalent practical experience in Computer Science or a related technical field

Preferred Qualifications

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

Strong presentation skills for internal and external communications