Machine Learning Engineer, Software QA - Creativity Apps

Apple • San Diego, CA

13d

About The Position

The Creativity Apps QA team is seeking a Software QA Engineer, Machine Learning to help ensure that our iOS and macOS creativity applications are high-quality. We’re looking for an engineer to take projects from defining evaluation strategy, evaluation scripting and automation, leading all stages of testing, triaging and driving issues to resolution, and ensuring high quality models are integrated into our Apps' clients through rigorous testing methodologies. You will have the unique and rewarding opportunity to help shape upcoming products that will delight and inspire millions of Apple’s customers every day.

Requirements

• At least 5 years industry experience ideally in quality assurance with a prior focus in Machine Learning.
• Strong comprehension of machine learning algorithms, supervised and unsupervised modeling techniques.
• Understand of the mechanics of machine learning, deep learning, computer vision, natural language processing, and generative AI.
• Proficient in Python and/or Swift or comparable languages.
• Meticulous, analytical, methodical and creative problem solving ability with a commitment to driving quality forward.
• Detail-oriented, analytical, methodical and creative thinker committed to driving quality forward.
• Strong presentation skills and ability to adapt technical presentation to various audiences.
• Bachelor's degree in Computer Science, Data Science, Applied Mathematics or similar, combined with an understanding of SQA methodologies, machine learning and software engineering experience.

Nice To Haves

• Understanding of subjective/objective image and video quality evaluation, and color science concepts is a strong plus.
• Understanding of SQA methodologies and practices, software engineering experience preferred.
• iOS and macOS familiarity.

Responsibilities

• Scripting, parsing data, and working closely with the annotation operations team.
• Analyzing annotations and test results to ensure the features work end-to-end for customers.
• Developing and implementing workflow projects, regression testing, and bug filing.
• Working closely with other team members to develop requirements, identify appropriate testing implementations processes, and methodologies.
• Managing priorities, and communicating progress as well as risk through regular status updates.
• Ramping up quickly on both existing and new technologies.
• Preparing and collecting data for evaluation and ensuring data quality.
• Prototyping and tools development.
• Utilizing LLMs and Generative AI frameworks to automate model evaluation processes, optimize test execution times, and improve evaluation accuracy and efficiency.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior