ML Software Research Engineer

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you'll have the chance to be part of an ML innovation organization that creates a wide range of impactful Apple features. Within MIND, you'll work on cutting-edge research in fields like Foundation Models and Perception, and develop end products that bring this research's impact to Apple users. This role places a strong emphasis on shipping ML-based features and products. You'll be involved in the entire end-to-end ML development pipeline, which includes crafting creative approaches to datasets, model training, runtime inference integration, and on-device model optimizations. Our ideal team member is fearless in trying new things and is willing to iterate on ideas. We value team members who can quickly prototype and iterate, ultimately leading to high-quality implementations.

Description

Our team seeks self-driven machine learning software engineer with strong experience in building ML training pipeline and developing production quality run-time inference infrastructure. In this role you are expected to collaborate closely with ML researchers, SW/FW engineers, and Operation/Data engineers to advance different research and production efforts. Your role is to help deliver the needed pipeline for model development and evaluation, as well as, build the production software to integrated these models and related functionality within Apple's software infrastructure.

Having experience with Sensing Modality and building realtime sensing visualizations and model prediction.

Responsibilities:

Build end-to-end ML model training and evaluation pipeline

Develop ML production software

The ability to build end-to-end demos for ML solutions

Represent the team in Cross-functional discussions

Preferred Qualifications

Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow

Experience in On-Device ML model deployment and on-device optimization