Software QA Engineer, Machine Learning- Creativity Apps

Apple • San Diego, CA

4h

About The Position

Imagine what you could do here. At Apple, new ideas have a way of becoming
outstanding products, services, and customer experiences very quickly. Bring
passion and dedication to your job and there's no telling what you could
accomplish. The Creativity Apps QA team is seeking a Software QA Engineer,
Machine Learning to help us ensure that our iOS and macOS creativity
applications are high-quality. We’re looking for an engineer to take projects
from initial data mining and research through all stages of prototyping,
development, testing, and final integration into our Apps' clients. 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.

DESCRIPTION

This position requires a self-motivated individual with strong technical,
problem solving and communication skills, and the willingness to work in a
sophisticated environment. Responsibilities include 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. You will
work closely with other team members to develop requirements, identify
appropriate testing implementations processes, and methodologies. You should be
able to be comfortable with ambiguity and make educated, critical judgments. You
must be effective and systematic at managing priorities, and communicating
progress as well as risk through regular status updates. Have a proven ability
to ramp up quickly on both existing and new technologies.

Requirements

• Min. of 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
• Preparing and collecting data for evaluation and ensuring data quality
• 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 Prototyping and tools development
• 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

Responsibilities

• scripting
• parsing data
• 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
• bug filing
• develop requirements
• identify appropriate testing implementations processes, and methodologies
• managing priorities
• communicating progress as well as risk through regular status updates

What This Job Offers

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