Job description

As an SDET, you will create and maintain sophisticated testing infrastructure that validates the reliability, performance, and inclusivity of Apple's most strategic developer frameworks. Your primary focus will be developing comprehensive, multi-platform test applications to evaluate in-development Swift APIs. Through this work, you will provide vital feedback that ensures developers can seamlessly integrate advanced machine learning capabilities into their apps. You will design and implement automated test suites covering functional, API, integration, and regression testing across all of Apple’s platforms (iOS, macOS, tvOS, watchOS, and visionOS). 3+ years of experience in software testing, with a strong focus on test automation, API testing, and application development. Proficiency in the Swift programming language (including design patterns, generics, and Swift concurrency), or a strong programming foundation with the eagerness and ability to learn Swift quickly. Experience developing and testing for Apple platforms using Xcode, SwiftUI, XCTest, and XCUIAutomation. A deep curiosity and excitement for exploring novel approaches to testing Generative AI and machine learning features. Bachelor's degree in Computer Science, Engineering, or equivalent professional experience. Understanding of large language models (LLMs) and prompt engineering concepts as well as how to leverage them for tooling and development workflows. Experience testing machine learning frameworks or other complex, non-deterministic systems. Deep knowledge of developer tools, SDKs, or framework testing and validation methodologies. Familiarity with continuous integration (CI) systems and advanced build automation. Experience using Python for test automation, custom tooling, or machine learning pipelines.

Requirements

Must-haves

3+ years of experience in software testing, with a strong focus on test automation, API testing, and application development.
Proficiency in the Swift programming language (including design patterns, generics, and Swift concurrency), or a strong programming foundation with the eagerness and ability to learn Swift quickly.
Experience developing and testing for Apple platforms using Xcode, SwiftUI, XCTest, and XCUIAutomation.
A deep curiosity and excitement for exploring novel approaches to testing Generative AI and machine learning features.
Bachelor's degree in Computer Science, Engineering, or equivalent professional experience.
Understanding of large language models (LLMs) and prompt engineering concepts as well as how to leverage them for tooling and development workflows.
Experience testing machine learning frameworks or other complex, non-deterministic systems.
Deep knowledge of developer tools, SDKs, or framework testing and validation methodologies.
Familiarity with continuous integration (CI) systems and advanced build automation.
Experience using Python for test automation, custom tooling, or machine learning pipelines.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

swiftmachine learningapiaipython

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

Vision