AIML – Applied Machine Learning Engineer, MIND Full-time

Summary
As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team at Apple, you will be part of the Data and Machine Learning Innovation (DMLI) organization. With roots in ML, computer vision, and energy efficiency research, MIND is strategically positioned to contribute to both short-term and long-term projects, from well-known Apple products to ambitious, high-risk, high-reward initiatives.

This role focuses on shipping ML-based features and products. You will innovate in the entire end-to-end ML production pipeline, crafting creative approaches to datasets, model training, and on-device inference optimizations. We value fearless team members who are willing to try new things, iterate quickly, and prototype ideas from start to finish, resulting in high-quality implementations.

You will collaborate closely with hardware, computer architecture, and software teams to drive data-driven decision-making and innovation. Your daily responsibilities will include analyzing and leveraging large datasets, identifying and addressing data gaps, predicting potential future gaps, and designing robust data collection strategies. Additionally, you will build, fine tune, and optimize machine learning models, ensuring their performance is fine-tuned for on-device deployment.

Description
As a team member, you will leverage your background to:
– Develop features and models enhancing machine learning systems. This includes scaling up model training, building data pipelines, and optimizing performance.
– Review and implement cutting-edge machine learning algorithms.
– Work closely with cross-functional partners across the stack, including; Apps, Compilation, Hardware and etc.