Machine Learning Test and Automation Engineer, Graphics, Games, and ML

The Graphics Games u0026 Machine Learning (GGML) team is looking for a Machine Learning Test and Automation Engineer to help deliver next-generation Apple Intelligence SW features on both On-Device and Private Cloud this role you will work hand-in-hand with GGML software developers and cross-functional ML teams during all project phases collaborating on feature definition quality plan and test looking for someone who is excited to explore new ideas challenge assumptions and create innovative approaches to validating complex ML systems. You bring curiosity creativity and a passion for quality and youre energized by the opportunity to work on technologies that reach millions of users while preserving their privacy.

As an Automation Engineer you will design and build scalable test solutions that validate both on-device and distributed Apple Intelligence inference. Your work will focus on ensuring the correctness reliability and performance of our inference runtime software. You will develop functional and performance tests that push our systems to their limits helping us deliver fast efficient and trustworthy ML-based experiences across Apples ecosystem.

Build scalable test solutions for validating ML-based inferences on Apples hardwarenDesign and maintain CI/CD pipelines to accelerate presubmissions and improve integration speednHelp define and enforce best practices for automated testing within a high-velocity ML development lifecyclenPartner closely with cross-functional teams including ML engineering infrastructure and Apple Services Engineering Team to identify gaps in coverage and streamline testing strategies

Bachelors degree in Computer Science Computer Engineering or a related technical field or equivalent practical experiencen4 years of proven experience in Software Quality AssurancenProficiency in Swift or PythonnFamiliarity with XCTests/XcodenExperience building scalable automated test frameworks and integrating them into CI/CD pipelinesnCreative and analytical problem solver with strong attention to detail; highly organized self-driven and motivated to deliver results

Familiarity with machine learning frameworks like PyTorchnUnderstanding of the complete model development lifecycle including data preprocessing model training evaluation deployment and monitoring