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Machine Learning Platform Engineer
Summary by AIEngineer.careers
Machine Learning Platform Engineer is a AI Infrastructure Engineer role (full-time). with Apple. in SUNNYVALE, US. Imported listing (source: simplify.jobs). Apply on the employer's site (simplify.jobs).
Imported listing (source: simplify.jobs) · Apply on simplify.jobs
SUNNYVALE · US
—
Full-time
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 simplify.jobs
This role focuses on designing and maintaining robust machine learning infrastructure and MLOps platforms to support large-scale model training and deployment. Engineers will develop cloud and on-device solutions for computer vision and multimodal applications, ensuring high performance and scalability. The position involves close collaboration with research and product teams to streamline ML workflows and optimize model serving.
Responsibilities
- Design and maintain scalable ML infrastructure and MLOps platforms
- Develop cloud and on-device deployment systems for computer vision and multimodal models
- Optimize model training pipelines and inference serving for production environments
- Collaborate with cross-functional teams to integrate ML capabilities into enterprise products
Requirements
- Strong software engineering background with experience in distributed systems
- Proficiency in Python, C++, or similar programming languages
- Experience building and maintaining MLOps tools and ML infrastructure
- Familiarity with cloud platforms and containerization technologies
- Understanding of computer vision or multimodal model architectures
Nice to Have
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.
