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Senior Machine Learning Infrastructure Engineer - ML Compute, ML Platform & Technology
Summary by AIEngineer.careers
Senior Machine Learning Infrastructure Engineer - ML Compute, ML Platform & Technology is a ML Infrastructure Engineer role (full-time). with Apple. in SANTA CLARA, US. Imported listing (source: snagajob.com). Apply on the employer's site (snagajob.com).
Imported listing (source: snagajob.com) · Apply on snagajob.com
SANTA CLARA · US
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from snagajob.com
Join Apple's ML Compute team to design and deliver critical features for ML workloads including training, inferencing, and fine-tuning. This senior role focuses on building scalable backend systems that power machine learning and deep learning models at scale.
Responsibilities
- Design and deliver critical features for ML workloads including training, inferencing, and fine-tuning
- Build and maintain scalable backend systems for ML/DL models
- Collaborate with cross-functional teams to optimize ML compute performance
Requirements
- 4+ years of experience in scalable backend systems for ML/DL models
- Strong understanding of machine learning and deep learning concepts
- Experience with training, inference, and fine-tuning workflows
Tech Stack
Backend SystemsDeep LearningFine-tuningInferenceMachine LearningTraining
Apple
Cupertino · US · 170444+ employees
Apple is a multinational technology company that designs, develops, and sells consumer electronics, computer software, and online services. Key products include the iPhone, Mac, iPad, and various wearable devices, alongside services like the App Store and iCloud.
