drjobs Machine Learning Engineer - Integration

Machine Learning Engineer - Integration

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1 Vacancy
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Job Location drjobs

Sunnyvale, CA - USA

Yearly Salary drjobs

$ 147400 - 272100

Vacancy

1 Vacancy

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.


At Apple base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147400 and $272100 and your base pay will depend on your skills qualifications experience and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apples discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards and can purchase Apple stock at a discount if voluntarily participating in Apples Employee Stock Purchase Plan. Youll also receive benefits including: Comprehensive medical and dental coverage retirement benefits a range of discounted products and free services and for formal education related to advancing your career at Apple reimbursement for certain educational expenses including tuition. Additionally this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Employment Type

Full Time

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