Foundational ML Researcher - Multimodal Training

Apple Inc.; Cupertino (CA); On-site; USD 150,400 - 277,600; Full time

Job summary

Apple Inc. in Cupertino, California, is seeking researchers to drive foundational machine learning research with a focus on efficient training, fast inference, and multi‑modal, multi‑task reasoning. You will publish results, collaborate with world‑class ML engineers, and contribute to Apple product innovations.

The role emphasizes rigorous experimentation, reproducible results, and mentorship within a diverse team across Apple.

Qualifications

• Demonstrated expertise in machine learning research.
• Publication record in leading conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, etc.).
• Strong hands‑on experience 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 related field.

Responsibilities

• Define and pursue a research agenda focused on fundamental ML problems, including efficient training and fast inference.
• Collaborate with ML engineers and researchers to advance Apple product capabilities.
• Develop high‑quality code, mentor teammates, and prepare publications for top venues.

Skills

Machine learning research

Python programming

Deep learning

Education

PhD or equivalent

Tools

PyTorch

Job description

Apple Inc. in Cupertino, California, is seeking researchers to drive foundational machine learning research with a focus on efficient training, fast inference, and multi‑modal, multi‑task reasoning. You will publish results, collaborate with world‑class ML engineers, and contribute to Apple product innovations.

The role emphasizes rigorous experimentation, reproducible results, and mentorship within a diverse team across Apple.