About the job
The Health AIML 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 with strong dedication to solving real-world problems in health and fitness that enrich our customers' lives.
Responsibilities
Lead research into health and fitness representation models and multimodal models.
Design, prototype and scale up new architectures to improve model intelligence.
Execute and analyze experiments autonomously and collaboratively.
Study, debug, and optimize model performance and computational performance.
Contribute to training and inference infrastructure.
Guide technical and architectural decision.
Qualifications
Minimum
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
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.