Machine Learning Engineer - Health Strategic Initiatives

Apple

Posted on : 20-08-2025

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1 Vacancy

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Job Location

Cupertino, CA - USA

Monthly Salary

Not Disclosed

Salary Not Disclosed

Vacancy

1 Vacancy

Posted on : 20-08-2025

Job Description

Join our team engineering machine learning solutions to promote health behavior change directly on user devices. We focus on building optimizing and deploying ML features that offer personalized support requiring a blend of ML understanding and strong software engineering practices to deliver reliable efficient and impactful 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. Youll be responsible for the quality and performance of the ML components you build and 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 if you are an engineer passionate about building impactful health features using ML possess strong on-device coding skills (Swift/Objective-C) and excel in a collaborative execution-driven 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.

Employment Type

Full Time

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Apple

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Machine Learning Engineer - Health Strategic Initiatives

Apple

Job Description

Employment Type

Company Industry

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About Company

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