Job Details

Role Number: 200649925-0836

Summary

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of research scientists, software engineers and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a Machine Learning Research Scientist passionate about solving real-world problems in health and fitness that enrich our customers' lives.

Description

We’re developing next-generation multimodal models to create intelligent health and fitness experiences. This role requires someone with strong expertise in large multimodal models to work at the intersection of AI and health to build foundational models that scale to billions of users worldwide. Your work will shape the future of health and fitness technologies at Apple.

We are looking for a research lead to guide multimodality research. You will lead the development of foundational technology that enables models to understand health and fitness data.

Minimum Qualifications

• PhD in Computer Science/Engineering, Machine Learning, Statistics, Mathematics or related field.

• Industry work experience.

• Experience landing contributions to major LLM training runs.

• Proven track record of publishing SOTA.

• Strong skills with deep learning frameworks such as PyTorch, JAX, or TensorFlow.

Preferred Qualifications

• Experience in training and evaluating multimodal models.

• Understand of time-series modeling, self-supervised learning, and cross-modal training.

• Ability to thoroughly evaluate and improve deep learning architectures in a self-directed fashion.

• Motivated by safely deploying LLMs in the health and fitness space.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .