Machine Learning Engineer - Integration
Machine Learning Engineer - Integration
Posted on :
03-08-2025
Employer Active
1 Vacancy
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Monthly Salary
USD 147400 - 272100
Vacancy
1 Vacancy
Posted on :
03-08-2025
Job Description
Were seeking a Machine Learning Integration Engineer to join our team for building seamless efficient deployment pipelines for ML models across multiple Apple products. Youll work at the intersection of machine learning systems engineering and product development ensuring our ML capabilities reach users through reliable performant key responsibilities in this role are:- Design implement and maintain efficient ML model deployment pipelines across Apple products for our real-time scene-understanding algorithms.- Optimize model performance for diverse hardware configurations across Apple Silicon.- Build and maintain MLOps infrastructure supporting continuous integration and deployment.- Collaborate with ML researchers to transition models from experimentation to production.- Work fluently across multiple codebases including Swift Objective-C Python C. - Develop APIs and SDKs that enable seamless ML model consumption across teams.- 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.- Collaborate with QA teams to establish testing strategies for ML-integrated features.- 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 Apples 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.
Employment Type
Full Time
Key Skills
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