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Apple Machine Learning Engineer - Integration United States, California, Sunnyvale 90463273
Yesterday
Your key responsibilities in this role are:- Build and maintain MLOps infrastructure supporting continuous integration and deployment.- Work fluently across multiple codebases including Swift, Objective-C, Python, C++. - Ensure consistent model behavior and performance across different platforms and devices.- Profile and optimize model inference performance, memory usage, and battery efficiency.- Implement robust error handling, fallback mechanisms, and monitoring systems.- Develop apps / dashboards (as required) to enable debugging/triage/live-assessment from QA teams.
- MS in Computer Science or related field with focus on machine learning, computer vision, software engineering or similar.
- 3+ years experience in efficient deployment of ML models in production environments.
- Experience with ML frameworks (Core ML, PyTorch).
- Strong understanding of software engineering principles, version control, and CI/CD practices.
- Experience working with large, distributed codebases and multi-functional teams.
- Proficiency in these programming languages: Swift, Python, C++, Objective-C .
- Experience with mobile ML optimization techniques and on-device inference.
- Experience of scaling pipelines on the cloud for large-scale replay/evaluation/processing.
- Knowledge of Apple's development ecosystem (XCode) and platform-specific constraints.
- Background in model compression, quantization, and edge computing optimization.
- Understanding of ML model versioning, monitoring, and lifecycle management.
- Creativity and curiosity for solving highly complex problems.
- Excellent communication and collaboration skills.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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