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Apple Editor - Instructional Products United States, California, Cupertino 949742480
28.04.2025
As a Machine Learning Engineer, you will drive the engineering lifecycle for these on-device ML features: designing efficient algorithms, implementing them in production code (Swift/Objective-C), integrating models, optimizing for performance, and ensuring robust testing.
You will tackle the engineering challenges of implementing on-device ML. This involves developing ML solutions with high-quality, performant code, integrating algorithms into larger application frameworks, optimizing for latency and power consumption, and establishing rigorous testing procedures. You'll be responsible for the quality and performance of the ML components you build and deploy.Key Responsibilities:• Design, implement, and optimize machine learning algorithms and models specifically for on-device execution.• Drive the end-to-end development process: from formulating hypotheses and collecting relevant data, through prototyping and on-device integration, to comprehensive testing and quality assurance.• Integrate, adapt, and optimize machine learning models for efficient on-device inference within health applications.• Analyze results, iterate on solutions, and ensure the robustness and real-world impact of the algorithms deployed.• Collaborate closely and effectively in a multi-functional environment with software engineers, designers, domain experts, and other ML teams.This is a site-based role.
- MSc in Computer Science, or related technical field.
- A minimum of 8 years of relevant industry experience.
- Experience with at least one of Python, Swift or Objective-C.
- Understanding of machine learning principles and common algorithms.
- Proven ability to implement and test algorithms or sophisticated software components.
- Demonstrated experience with the scientific method: formulating hypotheses, crafting experiments, collecting data, and performing rigorous analysis.
- A minimum of 10 years of relevant industry experience.
- Proven experience implementing, optimizing, and shipping machine learning models on resource-constrained environments (mobile, embedded).
- Deep proficiency with Swift, Objective-C and/or C++ and iOS development frameworks.
- Strong ability to work collaboratively and communicate effectively within a diverse, fast-paced team environment.
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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