Job 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. 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 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

Requirements

Must-haves

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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningmlpythonswiftgo

Platform: apple
Effort: medium