Job Description
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.
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.
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
Experience handling multimodal data including text, images, audio, and other sensors
Experience in developing production software
Proficient in Swift, Objective C, C++, or Go
Minimum Qualifications
BS or MS + 3-5 years of ML SW Engineering or PhD in Computer Science, Computer Engineering or Relevant Fields
Strong foundation in Machine Learning (classical ML models, DNN, and multimodal Foundation Models)
Experience in building model training/eval pipelines in Python/Pytorch.
Experience in prototyping and developing software applications (Preferably in Swift).
Strong communication and presentation Skills
Ability to work in a collaborative environment
