Machine Learning Research Scientist - Health AI

Apple • Cupertino, CA

22h

About The Position

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.

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.

Requirements

• 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.

Nice To Haves

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree